The Waterloo Region real estate market slowed in August 2026, with fewer home sales, fewer new listings and lower overall inventory compared with July.

Home prices, however, edged slightly higher month over month, while remaining below August 2025 levels.

For buyers and sellers across Kitchener, Waterloo and the surrounding Waterloo Region communities, the market continues to be active but increasingly selective. Buyers are paying close attention to value, and the way a home is prepared, priced and positioned continues to have a significant impact on the results sellers are achieving.

Here is a closer look at last month’s Waterloo Region real estate statistics and what they may mean as we move into the fall market.

Compared with July 2026 and August 2025:

• 477 homes sold, down 17.6% from July and 11.7% year over year
• $723,402 average sale price, up 2.3% from July and down 0.9% year over year
• $680,000 median sale price, up 0.7% from July and down 1.3% year over year
• 881 new listings, down 23.9% from July and 14.9% year over year
• 1,690 homes for sale, down 12.3% from July and 10.7% year over year
• 36 days on market, up from 33 days in July and 32 days in August 2025
• 3.4 months of inventory, down from 3.9 months in July and 3.6 months last August
• 99.8% of the most recent list price received, down from 100.2% in July and 100.9% last August

Year to date, residential sales across Waterloo Region are down 6.3% compared with 2025. The average sale price is down 4.2%, while the median sale price is down 4.9%.

August saw a noticeable decline in sales activity, but supply also tightened. Fewer properties came to market and the total number of homes available for sale fell considerably. As a result, months of inventory declined despite homes taking slightly longer to sell.

The combination of slower sales and lower inventory is one reason broad market statistics need to be viewed carefully. Conditions can vary considerably depending on the type of property, location and price range.

Cornerstone Association of REALTORS®

The average sale price for a home in Waterloo Region was $723,402 in August 2026, up 2.3% from July but 0.9% below August 2025.

The median sale price reached $680,000, increasing 0.7% month over month while remaining 1.3% below last year.

Those relatively small year-over-year declines suggest that prices held up better than sales volume in August. However, the overall numbers mask a much larger difference between single-family homes and townhomes, semi-detached homes and condominiums.

The Waterloo Region housing market is becoming increasingly segmented. Single-family homes continue to show stronger relative demand, while townhomes, semi-detached homes and condominiums are generally offering buyers more choice and greater negotiating power.

Single-family homes remained the more resilient segment of the Waterloo Region real estate market in August.

• 322 sales, down 15.9% from July and just 0.6% year over year
• $830,071 average sale price, up 2.3% from July and down 2.1% year over year
• $761,500 median sale price, up 0.2% from July and down 3.0% year over year
• 30 days on market, unchanged from July and up slightly from 29 days last August
• 2.8 months of inventory, down from 3.2 months in July and 2.9 months last August
• 100.3% of the most recent list price received, unchanged from July and down from 101.2% last August

Year to date, single-family home sales are actually slightly ahead of 2025, increasing 0.6%. The average sale price is down 5.1% year to date, while the median price is down 4.7%.

With fewer than three months of inventory, relatively stable year-over-year sales and shorter selling timelines, single-family homes continue to show stronger demand than other segments of the Waterloo Region market.

That does not mean every detached home is selling quickly. Buyers remain price conscious, and properties that are not aligned with current market value can still sit for considerably longer. However, well-positioned single-family homes continue to attract attention and, in some cases, competition.

Cornerstone Association of REALTORS®

The townhouse, semi-detached and condominium market tells a different story.

• 155 sales, down 20.9% from July and 28.2% year over year
• $501,805 average sale price, down 0.1% from July and 9.4% year over year
• $510,000 median sale price, down 1.3% from July and 6.7% year over year
• 48 days on market, up from 39 days in July and 35 days last August
• 4.6 months of inventory, down from 5.1 months in July and 4.7 months last August
• 98.8% of the most recent list price received, down from 99.9% in July and 100.5% last August

Year to date, sales in this segment are down 16.8% compared with 2025. The average sale price is down 8.4%, while the median sale price is down 7.8%.

For buyers searching for a townhome, semi-detached home or condominium in Waterloo Region, this segment currently provides more selection and, in many cases, greater room to negotiate.

For sellers, it also means pricing needs to be especially precise. With longer selling timelines and more competition for each buyer, even relatively small differences in price, condition or presentation can have a significant effect on activity.

Cornerstone Association of REALTORS®

Homes are selling, but the margin for error on pricing has become very small.

One of the most important takeaways from the August 2026 Waterloo Region real estate market is how differently individual segments are performing.
Single-family sales declined only 0.6% from a year ago. Sales of townhomes, semi-detached homes and condominiums fell 28.2%.

That difference makes broad market averages considerably less useful when determining what a specific property may be worth.

Pricing a home in the current Kitchener-Waterloo real estate market often requires more analysis than reviewing a handful of recent comparable sales. We consider current competition, location, lot, square footage, condition, renovations, layout, inventory, buyer demand and pricing history.

When there are limited recent comparable sales, it may also be necessary to examine older transactions and historical market movements to determine how those properties translate into today’s market.

Not every comparable sale is equally relevant, and not every home should be prepared or marketed the same way.

When the analysis is thorough and a property is positioned correctly, we are still seeing buyers respond quickly and, in some situations, compete. When the price misses the market, even by what may seem like a relatively small amount, the difference in showing activity and buyer interest can be significant.

Preparation matters as well, but that does not mean every seller needs to spend heavily before listing. Part of an effective strategy is identifying which improvements are likely to influence buyer perception, which ones are unlikely to provide a meaningful return, and where a seller’s time and money can have the greatest impact.

Buyers generally have more time to assess a property than they did during the highly competitive markets of recent years, particularly within the townhouse and condominium segments.

More negotiating room does not necessarily mean buyers should expect large discounts on every property. Well-priced homes can still attract strong interest, especially within the single-family segment.

Instead, the current market makes property-specific analysis especially important.

Recent comparable sales, competing listings, days on market, previous price changes and the conditions within that particular neighbourhood and property type can all provide useful information when determining an appropriate offer.

The opportunity for buyers today is less about assuming every seller will negotiate and more about identifying where negotiating leverage actually exists.

Interest rates remain an important part of the Waterloo Region housing outlook.

On September 2, 2026, the Bank of Canada held its policy interest rate at 2.25%. The Bank noted that economic growth and inflation had evolved broadly in line with its previous forecast, while upside risks to inflation had increased and new tariffs had created additional uncertainty.

Future interest rate decisions remain dependent on incoming economic data.

RBC Economics expects Canada’s housing recovery to remain gradual and uneven rather than producing a sharp rebound.
Its latest outlook forecasts Ontario home resales increasing 8.2% in 2027, following a modest decline in 2026. Ontario home values are projected to increase approximately 0.7% in 2027.

RBC also believes interest rates may be near the low point of the current cycle. If that proves correct, future improvement in housing activity may depend increasingly on affordability, employment, consumer confidence and pent-up buyer demand rather than substantially lower borrowing costs.

These are Ontario-wide forecasts rather than Waterloo Region-specific predictions. Still, the broader message is relevant to the local market: any housing recovery is likely to be gradual, and performance may continue to vary considerably by property type, price range and location.

Statistics provide important context, but they do not always show what is happening with an individual home.

Across Kitchener, Waterloo and the surrounding communities, buyers are being selective. They are comparing properties closely and responding most strongly when the relationship between condition, location, presentation and price makes sense.

This is especially important in a market where different property types are producing very different results.

A detached home in a neighbourhood with limited inventory may face very different conditions from a condominium competing against several similar listings. Even two homes within the same neighbourhood can require different pricing strategies based on lot, layout, renovations, location within the neighbourhood and competing inventory.

For sellers, understanding the market around the property rather than relying solely on a regional average has become increasingly important.

As we move into the fall 2026 real estate market, Waterloo Region remains active but highly segmented.

Single-family homes continue to show stronger relative demand, with fewer than three months of inventory and sales levels that remain close to last year.
Townhomes, semi-detached homes and condominiums are experiencing softer demand, longer selling timelines and greater price sensitivity, providing buyers with more choice and negotiating power.

For sellers, accurate pricing, thoughtful preparation and strong positioning remain critical. For buyers, current conditions provide more opportunity to compare properties carefully and negotiate where the data supports it.

Broader forecasts suggest the housing market recovery is more likely to be gradual than dramatic. Locally, we expect the difference between property types, neighbourhoods and price ranges to remain particularly important.

Whether you are considering buying, selling, downsizing or relocating, understanding the market around your specific property is more valuable than relying on a regional headline.

If you would like an accurate assessment of what your home could sell for in today’s Kitchener-Waterloo real estate market, connect with The Deutschmann Team for a personalized home evaluation.

The post Waterloo Region Real Estate Market Update | September 2026 appeared first on Kitchener Waterloo Real Estate Agent - The Deutschmann Team.

When preparing your home for sale in Waterloo Region, the way a room is arranged can have a significant impact on how buyers perceive its size.
A room does not necessarily need more square footage to feel larger. In many cases, the difference comes down to proportion, furniture placement, sightlines, lighting and how easily the eye can move through the space.

These are the same principles often used when professionally staging a home for market. The goal is not to make a room feel empty. It is to make the space feel balanced, functional and easy for buyers to understand.

Here are some of the staging techniques that can help a room feel more open and spacious.

One of the simplest ways to make a room feel larger is to reduce visual interruptions.

When you enter a room, your eye naturally looks toward the farthest point it can see. If that view is blocked by tall furniture, oversized decor or bulky pieces near the entrance, the room can feel shorter and more enclosed.

Keeping sightlines open allows the eye to travel farther through the space, which creates a stronger sense of depth.

When preparing your home for sale, look closely at what is positioned near doorways, windows and the transitions between rooms. A tall cabinet beside an entryway or a chair positioned directly in front of a window may be perfectly functional day to day, but moving it can make the room feel noticeably more open.

This is especially important in open-concept layouts. When buyers can clearly see from one area into the next, the overall floor plan often feels larger and more connected.

Rug size can completely change how a room is perceived.

A common assumption is that a smaller rug will expose more flooring and make the room feel larger. In practice, an undersized rug can have the opposite effect.

If the rug sits only beneath the coffee table, for example, the eye may read the sofa, chairs and rug as separate elements rather than one cohesive seating area. This creates more visual breaks and can make the room feel fragmented.

A properly sized rug helps connect the furniture and define the room as one complete space.

In most living rooms, the front legs of the main seating pieces should sit on the rug. In larger rooms, all of the furniture may sit fully on the rug.

The goal is not simply to use a large rug. It is to choose one that is proportionate to the furniture and the dimensions of the room.

The perceived size of a room is influenced by more than floor space. Ceiling height matters too.

One way to make a room feel more generous is to draw attention upward.

Curtains are a good example. Hanging the curtain rod closer to the ceiling rather than directly above the window frame can make the window appear taller and emphasize the full height of the room.

Floor-length curtains can also create a cleaner vertical line than shorter panels.

Other ways to add visual height include taller artwork, vertically oriented mirrors or subtle architectural details that encourage the eye to move upward.
This technique is particularly effective in smaller rooms, where emphasizing height can help offset limited floor space.

Light has a major impact on how spacious a room feels.

Dark or heavily shaded rooms can feel more enclosed, while natural light helps define the edges of a space and makes it feel more open.

Before listing, it is often worth simplifying window treatments, opening blinds fully and making sure furniture is not blocking windows.

Heavy curtains that frame a window too tightly can make both the window and the room appear smaller. Lighter treatments, or simply opening the curtains wider, can expose more glass and allow more daylight into the space.

Mirrors can also help when used thoughtfully. A mirror positioned where it reflects natural light or an open section of the room can add a sense of depth.

The key is restraint. One well-placed mirror is generally more effective than using several purely for the sake of making a room appear larger.

A spacious room should not only look open. It should feel easy to move through.

Furniture that creates narrow walkways or forces someone to move around several obstacles can make a room feel smaller, even if the room itself is generously sized.

When staging a home, furniture is often repositioned to create more obvious circulation paths between entrances, seating areas and adjoining spaces.

For example, in a living room, buyers should be able to walk from the doorway to the main seating area without navigating around a chair or squeezing between the coffee table and sofa.

This does not mean pushing every piece against the wall.

In many rooms, floating furniture slightly away from the walls can create a more intentional layout and make the space feel better organized. What matters most is maintaining comfortable pathways and avoiding unnecessary obstacles.

Homes are arranged for everyday living, not for showing.

That means rooms often contain furniture and objects that are useful but do not necessarily help the space present at its best.

Extra chairs, storage cabinets, pet furniture, side tables or desks may all serve a purpose, but they can also make a room feel more crowded.

When preparing to sell, consider whether each piece is helping to communicate the size and function of the room.

Removing even one piece of furniture can sometimes improve a sightline, widen a walkway or make the main seating arrangement feel more balanced.
The goal is not to strip the room down completely.

An empty or nearly empty room can actually make it harder for buyers to judge scale. Furniture gives buyers a reference point for understanding what comfortably fits in the space.

Visual clutter can make a room feel smaller even when there is plenty of physical space.

This is because the eye has more individual objects to process.

When staging, surfaces such as coffee tables, kitchen counters, consoles and dressers are usually simplified rather than completely cleared.
Instead of several small accessories, a few larger and more intentional pieces will often create a cleaner look.

For example, a coffee table may only need a tray, a book and one decorative object rather than multiple candles, bowls, magazines and smaller accessories.
This gives the room more visual breathing space and helps direct attention back to the features of the home itself.

A room can feel larger when the eye moves smoothly through it.

Too many contrasting colours, finishes, patterns and materials can make the space feel divided into smaller visual sections.

A more cohesive palette creates continuity.

That does not mean everything needs to be beige, white or perfectly matched.

Instead, try to repeat similar tones, keep the number of competing finishes limited and use accent colours intentionally.

The same principle applies between adjoining rooms. In open-concept spaces, some consistency in colour and materials can help the entire area feel more connected.

More decor does not necessarily make a room show better.

Too many pillows, throws, accessories, faux plants or decorative objects can distract from the room itself.

The strongest staging usually feels effortless.

A few carefully selected accessories can add warmth and polish while still allowing buyers to notice the things that matter most, such as the windows, flooring, cabinetry, ceiling height and layout.

Staging should support the home rather than compete with it.

Making a room feel larger is less about creating an illusion and more about presenting the space clearly.

The right furniture scale helps buyers understand what comfortably fits. Open sightlines make the room feel deeper. Proper rug sizing connects the furniture. Natural light adds openness. Clear walkways make the space feel functional.

Often, the most effective staging changes are relatively simple.

Moving one chair, removing an extra table, changing the rug, adjusting the curtains or simplifying a few surfaces can meaningfully change the way a room is perceived.

These details can make a home feel more polished in person, but they are equally important in listing photography, where buyers are often deciding within seconds whether a property deserves a closer look.

If you are preparing to sell in Kitchener-Waterloo or the surrounding Waterloo Region, The Deutschmann Team can help you identify the staging and preparation decisions that will have the greatest impact before your home reaches the market. Contact us today to start.

The post Staging Tricks That Can Make Your Home Feel Larger appeared first on Kitchener Waterloo Real Estate Agent - The Deutschmann Team.

                THE "CLEANUP" HAS ALWAYS BEEN A SHAM

Not only with the acquiescence of the Ontario MECP but in fact with their wild enthusiasm the polluter, his consultants and a gaggle of fellow travellors have embraced the blindfolded focus upon chlorobenzene and NDMA from almost day one. Pretending that every other toxic, dirty, smelly, putrid and gross liquid and solid chemical waste fits neatly into the characteristics of either NDMA or chlorobenzene is the height of hypocrisy, junk science, propaganda and prevarication. 

There are takeaways from this latest report by Mr. Cullen Flanders (Onterris). For example although it turns out to be hindsight for the public due to intentional misinformation; chlorobenzene is not a "typical" chlorinated solvent. It degrades via soil bacteria etc. very quickly in shallow, aerobic surficial soils and even in deeper, anaerobic soils its' low solubility in groundwater degrades quickly. Who knew? The problem of course is that the majority of it does not readily dissolve in groundwater as does NDMA. What it does do is pool in low lying areas particularly on top of low permeability surfaces such as aquitards and slowly dissolve into the groundwater over decades/centuries. 

NDMA on the other hand does not degrade naturally either in aerobic (oxygen rich) or anaerobic (oxygen poor) environments. It fully, 100% dissolves into groundwater and away it goes. It was in the north wellfield years before it was ever found in the south wellfield which only came on line in the 1970s so rest assured that cancers and other diseases were caused by NDMA long before the start of the 1989 Elmira Water Crisis. 

Yesterday's post needs amending in the last paragraph. I should have stated that as the "NDMA and chlorobenzene dissolved plumes have shrunk they are revealing more and more about the sources of all (Those Contaminants)  not just the two that Uniroyal wants us to focus on.". In other words as NDMA and chlorobenzene plumes decrease we are finding clearer evidence as to how we citizens have been lied to by Uniroyal and successors about the number of different corporate sources of those two contaminants. What we have been successfully deflected from is the various corporate sources around Elmira for all the other toxic contaminants including Dioxins, DDT, PAHs, PCBs, chlorophenol, trichloroethane, trichloroethene,  dichloroethylene, dichloroethane etc. Do not forget that Varnicolor had admitted LNAPLS (BTEX chemicals) as well as DNAPLS consisting of multiple chlorinated solvents in their surficial aquifer which we were not told had indeed migrated downwards into both aquitards and drinking water aquifers until 2016. The Ontario M.O.E. (MECP) blatantly lied to and misled us by reneging on their early 1990s promise to install those deeper monitoring wells quickly so that we could see the full vertical extent of Varnicolor's contamination.  Are those DNAPLS still below Varnicolor Chemical slowly dissolving into Elmira's drinking water aquifers? Will they and other chemicals in the DNAPL forever contaminate above drinking water standards our local water irrelevant of how much NDMA and chlorobenzene are eventually removed? Finally what honest party is there to actually monitor all these other toxic chemicals in our groundwater including low levels of Dioxins and DDT, chlorinated solvents or otherwise? Forget Lanxess, GHD or the Ont. MECP.      

You are a restaurant owner-operator.

You’ve been running your restaurant, Sam’s Pub, for almost ten years now, and you’re so proud of what you’ve built. You’ve hired a great staff, and you pay them fairly. You’ve developed a menu with items that use local fresh ingredients, that can be prepared quickly, and that customers enjoy.

But hell, running a restaurant is exhausting. You got into this business ’cause you love food, but you spend all of your time on people problems and money problems. The farm that supplies your chicken is closing to become a subdivision. Your social media ads cost too much time and require too much effort. Your head chef just accepted an offer at a prestigious steakhouse.

Fuck it, let’s become an Applebee’s franchise.

There’s MBAs in Glendale to manage the menu, the ads, and the decor.

Customers don’t appreciate the difference between your celery salt chicken thighs (with chicken from Alexandra!), and Sysco’s chicken fingers (with chicken from Illinois!).

Paying employees a good wage was kind of your thing, but that’s been tough especially since the pandemic. Applebees’ name recognition might bring in more tips to cover the difference?

There’s a few ways this might go badly.

Applebee’s nationwide lettuce supplier might have another listeria problem. Supply chain problems and the resulting diarrhea outbreaks are bad for business!

Corporate might raise the franchise fees. They’re already padding the margins on the mandatory supplies. A predictable, flat monthly fee was too good to be true.

The head of market research at corporate might resign because they’re worried that Applebee’s Inc. has a 10% chance of destroying humanity.

Dale Chihuly, Lapis Blue Chandelier, 2013, 221 x 140 x 124 cm © 2013 Chihuly Studio. All rights reserved. Canadian Clay & Glass Gallery Permanent Collection. Gift of Erica & Andrew O’Born. 2026.001.001

WATERLOO (ONTARIO) CANADA, September 13, 2026 – This month, the Canadian Clay & Glass Gallery (CCGG) is thrilled to celebrate four new exhibitions and the installation of a major Dale Chihuly artwork with a pair of exciting community events! On September 18, CCGG will host a VIP Preview in Blue fundraising event from 5-7pm allowing attendees to be the first to experience the newly acquired artwork by internationally recognized glass artist, Dale Chihuly. Tickets for Preview in Blue are available now. Immediately following the preview event, the Canadian Clay & Glass Gallery welcomes everyone to celebrate the launch of our new exhibitions with a public opening reception from 7-9pm.

Preview in Blue, with Special Guest MC John Catucci, former host of the Food Network’s You Gotta Eat Here! will include curated hors d’oeuvres, live jazz music, a first look at four new exhibitions, and the unveiling of Dale Chihuly’s Lapis Blue Chandelier—hanging twelve feet above the Tower Gallery. Join CCGG after work from 5-7pm as we celebrate! The Gallery’s biggest fundraiser of the year, Preview in Blue, will support the Gallery’s exhibitions, educational programs, and community outreach. Ticket purchasers will also receive a charitable tax receipt for the maximum amount. Purchase your tickets online! 

The Canadian Clay & Glass Gallery Public Opening Reception, from 7-9pm, will celebrate the launch of four Fall 2026 exhibitions, including:

Preview in Blue, with Special Guest MC John Catucci, former host of the Food Network’s You Gotta Eat Here! will include curated hors d’oeuvres, live jazz music, a first look at four new exhibitions, and the unveiling of Dale Chihuly’s Lapis Blue Chandelier—hanging twelve feet above the Tower Gallery. Join CCGG after work from 5-7pm as we celebrate! The Gallery’s biggest fundraiser of the year, Preview in Blue, will support the Gallery’s exhibitions, educational programs, and community outreach. Ticket purchasers will also receive a charitable tax receipt for the maximum amount. Purchase your tickets online! 

Dick Averns, Robin Clason, Coley, Thrush Holmes, Kelly Mark, Roda Medhat, Will Munro & Orest Tataryn 
September 18, 2026 to January 11, 2027 
Curated by Peter Flannery 

Since the year 2000 and the growth of LED-based signage, the use of neon for commercial and artistic purposes has declined. Despite this shift, the innate qualities of neon—its striking glow and subtle hum and flicker—create a sensory experience that is unmatched by newer alternatives. Recognizing the importance of this bold, dangerous, and unrivaled medium, artists have continued to push its boundaries, finding new ways to make art with electrified glass.  

Opens September 18, 2026

Fine art and craft coexist at the Canadian Clay & Glass Gallery. Form and function, colour and design, technique and expression, tradition and innovation—these relationships shape every work, though no two artists strike the same balance. Through a selection of works from the Gallery’s Collection, this long-term exhibition provides a space to experience a wide range of works by contemporary ceramic, glass, and enamel artists from across Canada.

September 18, 2026 – January 11, 2027 

Rooted in close observation and reverence for the environment, Faith Layard translates the vitality of flora, fauna, shifting landscapes, and organic rhythms into richly layered surfaces of vitreous enamel. 

September 18, 2026 – January 11, 2027 

Centred around Dale Chihuly’s Lapis Blue Chandelier, a monumental installation generously gifted to the Canadian Clay & Glass Gallery in February 2026 by Erica and Andrew O’Born, Gifted provides a glimpse into Chihuly’s practice through three works from the Gallery’s Permanent Collection. 

Admission to the Canadian Clay & Glass Gallery is always free. For more information about exhibitions and programs, visit the CCGG website. 

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The Canadian Clay & Glass Gallery is an award-winning, national institution based in Waterloo Region celebrating the art and craft of clay, glass, and enamel. As a dynamic cultural organization, we continue to amplify diverse stories — opening dialogue and inspiring social change. Through exhibitions that address issues relevant to our times, an impressive selection of works in our Gallery Shop, and public programs that engage, educate, and excite — we are accessible to all. For more information, visit: www.theclayandglass.ca

To schedule a media interview or for more information, contact Sarah Stanners, Executive Director & Chief Curator, at 519-746-1882 ext. 231 or director@theclayandglass.ca

The post CCGG Celebrates Dale Chihuly Artwork and Four New Exhibitions with Fundraiser and Public Reception September 18 first appeared on The Canadian Clay and Glass Gallery.

We are approximately within 18-20 months of the mandated 2028 deadline to have achieved Ontario Drinking Water Standards (ODWS) in the Elmira Aquifers. All parties agree it won't happen. Here's the rub. Those criteria are not just for NDMA and chlorobenzene. They are for each and every toxic contaminant in our drinking water aquifers. This includes some that are routinely monitored for and others less so such as Dioxins, DDT, PCBs, PAHs, other chlorinated solvents etc. These others, contrary to the lies we've been fed, will not automatically be at ODWS even if and when NDMA and chlorobenzene are. 

All the DNAPL lies that Uniroyal, CRA, GHD and the Ont. MECP have told Elmira citizens are coming home to bite them. Dr. Neil Thompson (U. of Waterloo) discovered an excess of 1,900 kilograms of chlorobenzene in the Elmira Aquifers in exceedance of the known quantity provided by Uniroyal Chemical. Past strong evidence of off-site chlorobenzene DNAPLS on the Nutrite property and beside the Howard St. Water Tower, pumping well W4 and monitoring well OW57-32R have long been denied with only recent tacit admittance of DNAPLS by the Water Tower. 

The report mentioned in the title has a Schematic Of Hydrogeologic Units (Fig. 1.2) on page 9. It shows the amount of mass contaminant recovery by the pumping wells both on the Uniroyal site and off the site. Pumping rates and concentrations for each pumping well are also shown. Unfortunately it is a poor Diagram as it does not explicitly say which contaminant it is tracking. Based upon the concentrations it likely is the much lower concentration NDMA rather than chlorobenzene that is being shown. Regardless one can quickly see that the two highest quantities of extracted contaminant are from pumping well W9 (2,845.1 g/yr) and pumping well W3R (426.7 g/yr). These quantities are even higher than the third place grossly contaminated on-site pumping well PW4 which due to its' much lower pumping rate is only removing 225.9 g/yr). 

W9 is located slightly west of Union St. near Park St. This is the location of a former textile industry and is just across the road (Union St.) from the former furniture company (Roxton ?) as well as Uniroyal Chemical. It is also very close to pumping well W8 just barely on the east side of Union St. on the former Nutrite/Yara property and very close to the off-site DNAPL from Uniroyal Chemical. Meanwhile pumping well W3R is downgradient from the former pumping well W4 which was located right in the heart of the off-site DNAPL beside the Howard St. Water Tower. W4 pumped heavily for many years and the powers to be may just have shut it down prematurely as higher concentrations of chlorobenzene have shifted towards nearby (south) pumping well W3R as well as nearby monitoring wells causing consternation amongst our local DNAPL DENIERS.   

Simply put it was easier to lie and bafflegab early on in the alleged "cleanup" but as NDMA and chlorobenzene dissolved plumes have shrunk they are revealing more and more about the sources of all contamination not just the two that Uniroyal and the Ont. MECP want us to focus on.

Lambda Scholarship Foundation Canada is seeking a volunteer Treasurer to join our board and help lead the financial stewardship of a 40-year-old national charity at a pivotal moment in its growth.

Lambda partners with Canadian post-secondary institutions, high schools, and other eligible agencies to provide scholarships, bursaries, and financial awards to 2SLGBTQIA+ and QTBIPOC students — reducing financial barriers and increasing access to education for marginalized communities.

Established in 1985, Lambda emerged during a time of struggle, resistance, and hope. Our first endowment launched at the University of Ottawa in 1995. Today, we support 12 endowments and scholarships across Canada and have distributed over $256,645 to 182 recipients.

Our mission: Empower 2SLGBTQIA+ and QTBIPOC Individuals Through Education and Research.

To learn more about our work and impact, read our 2024/2025 Annual Report and Year in Review blog post.

Our work is grounded in lived experience and a deep understanding of the systemic barriers that queer and trans youth — especially those who are Black, Indigenous, racialized, and newcomers — face when pursuing post-secondary education.

Our outgoing Treasurer has served in the role for approximately 10 years and has been involved with Lambda for over 25. This kind of long-standing dedication — characteristic of our volunteer leaders — reflects the integrity of the organization and the depth of commitment our mission inspires. We are seeking someone ready to carry that commitment forward.

1. Advanced fundraising and financial sustainability, including new scholarships, community awards, and growing existing endowments
2. Modernizing financial data and oversight
3. Developing formal organizational policies and governance frameworks
4. Canada-wide brand awareness and event sponsorship strategy
5. Launching a Youth Scholarship Application Mentorship Service — free, one-on-one online mentorship for 2SLGBTQIA+ and QTBIPOC youth

The Treasurer is an officer of the board and a member of the Executive Committee. Key responsibilities include:

• Chair the Finance Committee, providing oversight of Lambda’s financial health and reporting regularly to the full board
• Act as a signing officer for agreements, cheques, and bank transactions
• Keep financial records and reports on file in accordance with CRA and ONCA obligations
• Speak to the budget in partnership with the Executive Director and Finance Committee
• Serve on the Executive Committee and, in the absence of the Chair and Vice-Chair, serve as acting Chair
• Ensure a smooth transition by working collaboratively with your successor upon leaving office

We are seeking a candidate with experience in one or more of the following:

• Finance, banking, investment management, or accounting
• Nonprofit financial governance or CRA charitable compliance
• Bookkeeping, financial reporting, or audit processes

Experience with QuickBooks Online or similar accounting software is an asset. Bilingualism (English and French) is an asset but not required.

Lambda is an equity-serving organization. We strongly encourage applications from those who identify as Indigenous, women, trans, non-binary, gender non-conforming, Black, people of colour, and persons with disabilities.

Our current board includes members from Montréal, Ottawa, Calgary, and Vancouver. We welcome applications from all provinces and territories.

1. Monthly board meeting (currently the third Sunday of the month)
2. Finance Committee meetings as Chair (frequency set by the committee)
3. Approximately 8–10 hours per month
4. 2-year term

New board members are typically appointed at our annual AGM in September. We encourage interested candidates to apply early, as the board may make appointments in advance of the AGM.

We hope to have finalist candidates attend a Lambda board meeting in August ahead of our September AGM.

Please send a single PDF — no later than September 15, 2026 at 9 am EST — that includes:

A cover letter describing your financial experience and your interest in Lambda’s mission, with specific reference to the Treasurer role. Please confirm your availability for the required hours per month and your commitment to a 2-year term.
Your resume.

Email: president@lambdafoundation.org 
Attention: El Chenier, President

We look forward to learning more about you and your commitment to supporting Lambda Scholarship Foundation Canada and the 2SLGBTQIA+ and QTBIPOC communities we serve.

The post Lambda Foundation appeared first on Capacity Canada.

Trick Question: How many more times can Waterloo Region lie to Wilmot citizens before they stop believing you? 

The answer is  zero for half the Township at least.

Next trick question: Why is the Region finally in September making commitments about sharing water level data with Wilmot citizens?

The answer is because we've just had one of the wettest summers in recent memory and they are hoping that water levels are higher than usual. Plus if they don't share the information, sympathetic voters in Waterloo, Kitchener and Cambridge may punish them at next month's municipal election.

Third trick question: Actually it might be a trick headline above. Do Township voters (i.e. Woolwich, Wellseley, Wilmot, North Dumphries) only get to vote for one regional councillor which happens to be their mayor? Voters in Waterloo, Kitchener and Cambridge get to vote for additional councillors specific to their cities to represent their larger populations, do they not? If this is indeed the case then the only regional bum that Wilmot can possibly throw out is their current mayor Natasha Salonen.

Hmm meanwhile today's K-W Record has two interesting articles that might affect next month's election. The one is by Luisa D'Amato titled "Greater transparency coming on water levels, council told" and the other is by Jeff Outhit titled "Put your ID in your shoe when you run". The first is a very conveniently timed regional council meeting yesterday in which the Region of Waterloo appear at long last to be responding decently, properly and honestly to local Wilmot citizens who help pay for their salaries. Is this article for real just like is yesterday's regional council meeting for real or is it all for show? Basically this year Regional Council have left mayor Salonen out to dry with their disappointing, arrogant, "we know better than you" attitudes. Both yesterday's council meeting and Louisa's gentle handling and lack of appropriate editorial content today appear to be a gift to mayor Natasha Salonen to get her reelected. 

The second article by Jeff Outhit is an incredible boost to the current Chair of Regional Council, Karen Redman. Apparently Karen Redman was in New York City as part of her duties as a Canadian federal Member of Parliament (Lib.) during the 911 attacks on the World Trade Centre etc. She literally had absolutely nothing to do responsibility wise or politically regarding the attacks but thanks to the K-W Record her profile has just received a huge boost with the electorate, again right before next month's election. Keep in mind she hopes to maintain her position as Regional Chair but thanks to Premier Doug Ford it is not up to the electorate but up to him whether she continues as Regional Chair or he appoints someone else, likely a Conservative. My respect for our media in general and the K-W Record specifically has taken a fall in recent years.      

♦

Several casual-upscale restaurants and wine bars in the heart of Ottawa and Gatineau feature menus that showcase the distinctive qualities of low-intervention natural wines.

While these wines might present a challenge to diners inclined to favour the conventional aromas, flavours and textures of a noble grape, I’ve found that, though they can be described as “wild” or even “funky,” they can also reward and re-fresh the dining-out experience. In doing so, they also have ensconced themselves in the industry, embraced by more than just a core of dedicated sommeliers.

At each of Bar Lupulus, Arlo Wine Bar (in banner photo), Fauna Food + Bar and Soif Bar à vin (above), natural wines characterized as biodynamic, relying on only indigenous-yeast fermentation and with no filtration and minimal additives exhibit what Fauna’s wine director calls an “ethos” of authenticity that foregrounds the grape, the terroir and the winemaker.

For more, visit Vine Routes …

Check out my latest post Natural-wine hotspots in the Nation’s capital from AndrewCoppolino.com.

ACO North Waterloo Region Branch closes October 31, 2026

The ACO NWR website will be available until July 2027.

The province-wide ACO will continue and current members will be able to renew, but not as branch members; branch activities will cease

We encourage those who are interested in heritage preservation to consider joining the Waterloo Historical Society (www.whs.ca/). The WHS lists heritage preservation as one of its goals/mandates and many of ACO’s local members are already members of the WHS.

ACO will continue to work toward the goals of heritage preservation at a provincial level across Ontario

We thank all members and supporters of heritage preservation, past and present!

For further information, see

Statement from Marg Rowell, President of the ACO North Waterloo Region Branch

Statement from Deb Crawford to ACO members

We acknowledge that the land on which we live was inhabited by the Haudenosauee, Anishinaabe and Attawandaron (Neutral) people before the arrival of Europeans. We recognize the enduring presence and deep traditional knowledge of the Indigenous people with whom we share this land today. This land was part of the Haldimand Tract proclamation of 1784, which promised the Haudenosaunee land six miles on both sides of the Grand River from Lake Erie to its source. We also affirm our commitment to reconciliation in our community.

For a while, I understood neural networks mostly mechanically. Data entered the network, passed through layers, and eventually produced a prediction. Loss was calculated, gradients computed and weights updated. I could follow the sequence but the pieces still felt strangely arbitrary. Why this structure? Why did stacking layers make a network so powerful? Why were activation functions so important? I understood much of what the network was doing, step by step, without feeling like I understood the network as a whole.

Then I watched Josh Starmer’s StatQuest video on the key ideas underlying neural networks. He presented neural networks as systems that sculpt functions. Instead of following data through layers, I could zoom out and picture what those transformations were collectively constructing. That shift helped immediately.

Then I got greedy and started looking for other ways to think about neural networks. By the time I was done, I realised that different mental models made different questions easier to answer. Some let me zoom out and collapse the network into one idea. Others did the opposite, breaking it into smaller transformations or computations. Some connected neural networks to ideas I already understood; others made me reinterpret things I thought I understood already. Together, they made neural networks feel much less mysterious. Learning to switch between these mental models was the breakthrough I needed.

The mechanical understanding I started with was essentially viewing neural networks as a stack of transformations.

Each layer progressively transforms the data before passing it on:

where

• x is the input
• h’s are intermediate hidden representations, and
• y is the final output.

This was probably my default mental model before I knew to call it one. It made the forward pass easy to follow: the input is transformed step by step until the network produces an output.

This perspective helps explain why neural networks have depth at all. Each layer can transform the output of the previous layer, allowing the network to build increasingly complex computations. Earlier layers produce simpler transformations that later layers can refine further.

At the same time, this perspective kept my attention on the individual steps. I didn’t have a clear picture of what all those transformations were collectively doing. I needed to zoom out.

Function approximation gave me that zoomed-out view.

I was already comfortable thinking about models like linear and logistic regression as functions. Given some inputs, these models learn a mapping that produces an output. A neural network can be understood in exactly the same way:

This stripped away much of the apparent mystery surrounding neural networks. Underneath all that machinery, the network was still doing something familiar: learning a function that maps inputs to outputs, just like the other models I already understood. The difference was that neural networks could learn far more flexible and expressive functions.

But how do these complex functions emerge from simple neurons?

I already understood abstractly that stacking layers with nonlinear activation functions allowed neural networks to model increasingly complex relationships. But I couldn’t visualise it.

In Josh Starmer’s explanation, each neuron works with a given activation function. The weights and biases slice, flip and stretch that same activation function into new shapes. As a result, each neuron applies a small nonlinear transformation to its input. These small transformations and shapes are stitched together across layers to create yet new shapes. A complex decision boundary emerges from many local transformations.

With Softplus, a neuron can contribute a smooth bend into the function surface. With ReLU, neurons contribute piecewise linear changes. Deep networks combine huge numbers of these simple transformations, progressively sculpting a much more complex function.

Don’t take my word for it. Watch the video. His animations (and the noises he makes while calculating) make it worth your time.

What clicked for me was that the network didn’t need any individual neuron to represent a complicated function. Each neuron could contribute something simple. Complexity emerged from composing and combining many of those simple transformations.

Function approximation had helped me zoom out and see the network as one flexible function. Function sculpting let me zoom in just enough to see how that flexibility could be constructed.

One thing that distinguishes neural networks from many of the models I was used to working with is that they can also learn how to represent the input itself.

In my previous experience with econometrics and causal inference, deciding how to represent a problem happened largely before fitting the model. I thought carefully about which variables to include, what they measured, and how they should be transformed. The model then learned from the representation I had given it.

With neural networks, deciding how to represent the problem doesn’t happen entirely before training. The network also learns useful ways of representing the data. The hidden states in the stack of transformations aren’t just intermediate values but intermediate representations shaped during training to become useful for the task. This is why neural networks are often described as systems for representation learning.

This applies even to relatively simple neural networks. For example, a churn model might learn hidden behavioural patterns that help distinguish customers with different risks of leaving. In a larger language model, the learned representations can encode complex semantic relationships. The scale and complexity differ but both are forms of representation learning.

I had been thinking of learning primarily as learning a mapping from my representation of the problem to the target. Representation learning made me realise that the representation itself could be part of what was learned.

One thing that puzzled me when learning about neural networks was the amount of attention given to activation functions. I understood that without them, stacking linear layers still collapses into a linear transformation. But why did the choice of activation function matter?

I initially thought about activation functions through the function-sculpting perspective. Different activation functions give the network different shapes to work with, so I assumed that choosing between sigmoid, tanh or ReLU was primarily about the kinds of functions the network could construct.

The optimisation perspective gave me a different answer.

Unlike simpler models such as linear regression, neural networks generally do not have neat closed-form solutions for their parameters. These parameters are learned iteratively through optimisation. At first glance, optimisation can seem like a secondary implementation detail — merely the mechanism through which weights get updated during training.

But it isn’t enough for a neural network to be capable of representing a useful function; optimisation has to find the parameters that produce one. Neural networks were already highly expressive decades ago. The challenge was whether optimisation could actually find a useful solution. Gradient-based optimisation struggled to reliably train deep networks. Much of the progress in deep learning has involved making highly expressive neural networks easier to train.

Many neural network design choices are intended to solve optimisation problems. Sigmoid activation functions can saturate, while ReLU often allows gradients to propagate more effectively. Weight initialisation affects whether signals and gradients remain stable across many layers. Learning rates and optimisers determine how we move through the loss landscape.

This perspective also changed how I thought about architecture. From my original stack-of-transformations perspective, residual connections seemed strange. If each layer was supposed to progressively transform the representation, why let an earlier representation bypass a block and add it back later?

From an optimisation perspective, the question changes. Residual connections provide identity paths through deep networks, helping information and gradients flow and allowing blocks to learn changes to an existing representation. What had looked awkward from one mental model made much more sense from another.

This perspective helped explain why so much of deep learning is about more than designing expressive architectures. It is also about making those architectures trainable.

The optimisation perspective explains why gradients matter. But how are the gradients computed?

Function approximation had taught me to think of a neural network as one enormous function. But trying to imagine its derivatives gave me a headache. Differentiating an enormous, complicated function with millions of parameters sounded overwhelming.

The computational graph perspective reverses that. It breaks this gigantic function back into the small operations that produce it.

During the forward pass, data moves through the graph step by step: inputs are transformed; activations are computed; predictions are produced; and loss is calculated. Backpropagation then works backwards through this graph to compute the gradients.

The key insight is that the gradients aren’t computed as one enormous derivative. Each operation only needs to compute local derivatives with respect to its own inputs. By the magic of chain rule, these local derivatives are stitched together, and gradients are able to propagate backward through the whole network. Backpropagation no longer felt like a memorised algorithm.

Neural networks became much easier to understand once I stopped searching for a single explanation.

What I initially thought of as one complicated system could be viewed at very different scales. I could zoom out and view the system as a single function, or zoom in and think about individual transformations and computations. I could think about what representations the network was learning, or switch questions entirely and ask whether optimisation could actually find them.

What surprised me most was that a mental model that made one question easier could make another harder to reason about

• Thinking of a neural network as one enormous function connected it to more familiar machine learning models but made the idea of differentiating it overwhelming. Instead, breaking that same function into a computational graph made backpropagation much easier to understand.
• Residual connections were initially confusing when I viewed networks as stacks of transformations. However, from an optimisation perspective, their purpose made more sense.

No single perspective fully explains neural networks. Each lens makes different questions easier to reason about. The real shift was learning which mental model to reach for when something stopped making sense.

1. Stack of Transformations
   Why are there multiple layers?
   Main insight: Layers progressively reshape data into new representations.
2. Function Approximation
   What is the network fundamentally doing?
   Main insight: A neural network is ultimately learning a function from inputs to outputs.
3. Function Sculpting
   How do simple neurons create complex functions?
   Main insight: Complex functions emerge from many simple nonlinear transformations.
4. Representation Learning
   What are hidden layers learning?
   Main insight: Neural networks learn useful internal representations of the input.
5. Optimisation System
   Why do so many design choices concern training?
   Main insight: Expressiveness isn’t enough; optimisation has to find useful parameters.
6. Computational Graph
   How are gradients actually computed?
   Main insight: Derivative calculations can be decomposed into local derivatives stitched together by the chain rule.

• Josh Starmer (StatQuest): The Essential Main Ideas of Neural Networks

This article grew out of a more detailed exploration of neural network mental models on my website.

Learning neural networks through mental models was originally published in Code Like A Girl on Medium, where people are continuing the conversation by highlighting and responding to this story.

ORDER OF CORPORATE ENVIRONMENTAL DAMAGE DONE IN ELMIRA, ONT.

1)     Uniroyal Chemical

2)     Varnicolor Chemical

3)     Nutrite (Yara)

Nutrite contributed ammonia to the Elmira Aquifers as also did Uniroyal. Nutrite are however not only third on the list but a long ways down that list compared to the mass on and off site dumping of liquid wastes done by both Uniroyal and Varnicolor. Uniroyal is first not based upon number of years of dumping but upon the volumes of chemical production and volumes of wastewaters they produced as a  side effect of that production. Likely a few gas stations in town (beside the Steddick Hotel, Gord's, Voisin's) also contributed a few petroleum hydrocarbons such as Benzene, Toluene, Ethyl Benzene & Xylene to our ground and drinking water as both Varnicolor and Uniroyal did as well. 

Yes there were cleanups at all three of the mentioned gas stations/car dealerships. Yes there have been Mickey Mouse cleanups at the much larger messes made by Uniroyal, Varnicolor and Nutrite. No other corporate polluters within Elmira have even remotely been brought to justice. Only Uniroyal Chemical has received even a small fraction of the media attention that their behaviour and actions deserve.

Varnicolor 's contaminants include NDMA, chlorobenzene, trichloroethylene, PCBs, Benzene, Toluene, Ethyl Benzene and Xylenes, trichloroethane, chloroform and more. They were both accidentally and purposefully dumped on both of their properties namely the former 62 Union St. (now 84 Howard Ave.) site as well as at their infamous Lot 91 at the extreme east end of Oriole Parkway.  The intentional dumping at Lot 91 included intentionally rupturing barrels and letting them leak out as well as pumping dirty solvents into two end to end 10,000 gallon tanks with holes in those ends. The first method was seen and an Affidavit given to the Ontario M.O.E. by a Uniroyal employee working at their warehouse fourty metres from Lot 91. Videotapes exist of pumping into the two 10,000 gallon tanks with witnesses noticing strong solvent odours for the next few days followed by an examination of the ends of the two tanks after the company was investigated.

Up on the main site (62 Union St.) the mass dumping was accomplished by a buried road tanker behind the main, orange administrative building connected via pipes to the floor drain inside the building. There was also a buried septic tank behind the road tanker unconnected to toilets but also connected to the same floor drain inside the orange administrative building. Affidavits and statements from multiple witnesses who were ordered to dump liquid chemical wastes down this floor drain have been in the hands of the Ont. M.O.E. for decades. 

Those liquid wastes included waste water from paint booth water curtains from major automotive manufacturers as well as dimethylamine ( precurser to NDMA)  from the production of can coatings used to inhibit rust inside food cans. These can coatings were produced inside the orange building and there are two affidavits from former employees other than myself to this fact in the hands of the Ont. Min. of Environment (M.O.E.). Minor dumping (45 gallons or less) occurred on an almost weekly basis as unsecured drums with waste solvents got dropped or tipped over regularly. Spills sometimes were "contained" with sawdust and yes the M.O.E. also has Affidavits to that fact as well. 

I believe that while Uniroyal Chemical were environmental pigs and received some of the condemnation they deserved, Varnicolor were coddled and protected immorally and illegally by the Ontario Ministry of Environment. This protection resulted in greatly reduced remediation for the entire Elmira Aquifers and now we are seeing the result of that as the 2028 "cleanup" has failed and all parties grudgingly so admit.

I spent three weekends convinced I needed a framework to build an AI agent.

I installed one, followed the docs, and eventually hit an error I couldn’t make sense of. I spent more time trying to understand the framework than building the thing I actually wanted.

So I stopped.

I opened a blank Python file and started with the simplest version I could think of: call the model, give it one tool, run the tool when it asks, send the result back, and repeat.

Forty minutes later, I had a working agent.

It wasn’t sophisticated. It didn’t have memory, multiple agents, or a fancy orchestration layer. It was a loop, a model call, and a function.

That was the part I had been missing.

Before worrying about frameworks, I needed to understand the loop underneath them.

That’s what we’ll build here.

An AI agent is a large language model running inside a loop, with access to tools it can choose to call, until it decides the task is done or a limit is hit.

At its core, that’s all an agent loop is. Frameworks add useful abstractions around it, but the underlying pattern doesn’t change. If you strip away the marketing, an agent has three parts.

• Model: the reasoning engine that reads context and decides what to do next
• Tools: functions the agent can call to take action, like a web search, a database query, or a file write
• Loop: the code that calls the model, checks if it wants to use a tool, runs that tool, feeds the result back, and repeats

A plain chat completion answers once and stops. An agent keeps going. It reads its own tool results, updates its plan, and calls the model again, sometimes five times, sometimes fifty, until the task resolves.

Here is the part most tutorials gloss over. There are two very different design choices hiding inside the word “agent,” and conflating them is where projects go sideways.

Deterministic control flow means your code decides the sequence of steps. Step one always runs, then step two, then a fixed branch based on a condition you wrote. The model does reasoning inside each step, but it does not choose what happens next.

Agent directed control flow means the model itself decides which tool to call, in what order, and when to stop. Your code just exposes options and executes whatever the model picks.

Most production systems that call themselves agents are actually a hybrid. A deterministic scaffold, wrapped around a small number of genuinely open ended decision points. That hybrid is what this article teaches you to build, because a fully autonomous loop with no rails is the fastest way to burn API credits on an infinite retry spiral.

Strip away the vocabulary differences between frameworks and every agent loop runs the same four stage cycle.

1. Observe: gather the current state, the conversation so far, and any new tool results
2. Think: send that context to the model and let it reason about the next move
3. Act: if the model requested a tool, execute it in your own code, not inside the model
4. Update: append the result to the conversation state and decide whether to loop again or stop

That is the entire mechanism behind tools like Claude Code, Cursor’s agent mode, and Gemini CLI. They are dressed up differently, but underneath, it is this same cycle running turn by turn until a stopping condition is met.

Let’s make this concrete. Below is a minimal, framework free agent loop in Python, using the Anthropic API directly. It is deliberately small enough to read top to bottom in one sitting.

import anthropic

client = anthropic.Anthropic()
def get_order_status(order_id: str) -> str:
    # In a real system this hits your database or an API.
    return f"Order {order_id} shipped yesterday, arriving in 2 days."
tools = [
    {
        "name": "get_order_status",
        "description": "Look up the shipping status of a customer order.",
        "input_schema": {
            "type": "object",
            "properties": {"order_id": {"type": "string"}},
            "required": ["order_id"],
        },
    }
]
messages = [{"role": "user", "content": "What is the status of order #5678?"}]
MAX_TURNS = 5
for turn in range(MAX_TURNS):
    response = client.messages.create(
        model="claude-sonnet-4-6",
        max_tokens=1000,
        tools=tools,
        messages=messages,
    )
    messages.append({"role": "assistant", "content": response.content})
    if response.stop_reason != "tool_use":
        final_text = next(b.text for b in response.content if b.type == "text")
        print(final_text)
        break
    tool_results = []
    for block in response.content:
        if block.type == "tool_use" and block.name == "get_order_status":
            result = get_order_status(block.input["order_id"])
            tool_results.append(
                {"type": "tool_result", "tool_use_id": block.id, "content": result}
            )
    messages.append({"role": "user", "content": tool_results})

So what makes this loop deterministic? The important part isn’t the model call. It’s the code around it.

The for turn in range(MAX_TURNS) line is a hard rail. The model cannot loop forever, because your code, not the model, owns the exit condition. That single line prevents the most common production failure: an agent that keeps calling a tool in circles because it never got a satisfying answer.

The tool execution itself, get_order_status(block.input["order_id"]), runs in your process, under your control, with your error handling. The model never touches your database directly. It only ever asks, and your code decides whether and how to comply.

The if response.stop_reason != "tool_use" check is the loop's stopping condition. When the model has no more tool calls to make, it has produced a final answer, and the loop exits cleanly instead of continuing to poll.

That is the entire pattern. Everything a heavyweight agent framework adds on top, streaming, retries, multi agent handoffs, persistent memory, is scaffolding around this same core.

Once the basic loop runs, the real engineering work is deciding where to keep the model on a leash and where to let it improvise. A few rails that pay for themselves immediately:

• Turn limits: cap how many loop iterations a single task can consume, like the MAX_TURNS example above
• Tool allowlists: only expose the specific tools relevant to the current task, not your entire API surface
• Cost ceilings: track token spend per task and abort past a threshold, before it becomes a surprise invoice
• Human checkpoints: require explicit approval before any destructive action, like deleting data or sending money
• Schema validation: reject malformed tool calls before they ever reach your execution layer

Notice the pattern. None of these limit what the model can reason about. They limit what it can do unsupervised. That distinction is the whole discipline of building agents that are useful in production instead of merely impressive in a demo.

Not every task needs an agent. If the sequence of steps is fully known ahead of time, a deterministic workflow with the model doing reasoning inside fixed steps is simpler, cheaper, and easier to audit.

Reach for a full agent loop when the task is genuinely open ended and you cannot predict the steps in advance, like debugging an unfamiliar codebase or researching a topic where the right sources are not known upfront. Reach for a plain deterministic workflow when compliance or auditability requires a reviewable, fixed control flow, or when the steps really are always the same.

Most real systems land in between: a deterministic outer shell, with one or two agent loops embedded at the specific points where judgment genuinely cannot be scripted in advance.

A few failure patterns show up constantly in first agent builds, and all of them trace back to skipping a rail.

• Letting the loop run unbounded, so a confused model spins through dozens of turns before anyone notices
• Executing tool calls with no validation, so a malformed argument crashes the whole run instead of failing gracefully
• Feeding the entire conversation history back every turn with no trimming, until the context window fills and costs balloon
• Treating the agent as fully autonomous from day one instead of starting with tight guardrails and loosening them as trust builds

An agent is a model in a loop with tools, and the loop is yours to control. The frameworks did not invent anything the core pattern does not already contain, they just packaged it. Once you have built one from scratch, every framework you look at afterward reads like a variation on the same forty lines of code.

The next time you see an “AI agent” framework, don’t start by learning the framework. Look underneath it. Find the loop. Find the tools. Find the stopping condition.

Once you understand those pieces, the framework stops looking like magic.

AI Agents Aren’t Magic: Build One From Scratch With a Deterministic Agent Loop was originally published in Code Like A Girl on Medium, where people are continuing the conversation by highlighting and responding to this story.

Every Saturday morning, one of several volunteer teams from St. Michael Roman Catholic Church in Waterloo spends part of their day offering granola bars, scones, boiled eggs, fruit cups and warm smiles to the men at ShelterCare.

♦Gai, a member of one of the volunteer teams, has been volunteering regularly for the past three years. She was drawn to this work because she has seen firsthand how great the need is in our community.

“I worked for the Catholic school board, near St. Mary’s Church and the Tiny Home Takeout in downtown Kitchener,” said Gai. “I could see the number of homeless people increase, and my heart went out to them.

“I’ve always felt a calling to extend grace to those less fortunate,” said Gai. “I have two sons, and I always thought, ‘this could be one of my children.’”

At ShelterCare, the 100 men in the program receive meals throughout the week from a combination of paid staff and volunteers. On weekends, having committed volunteers hand out breakfast food makes a big difference for the kitchen team.

“While they are handing out the food, I’m able to prepare for the lunch meal,” said ShelterCare cook Anita. “It makes a big difference.”

St. Michael Parish has long been supportive of the ShelterCare program. Back in 2023, when our emergency shelter first opened, the church provided welcome packages for the men who were the first to move into the new facility.

Dean, another volunteer with the program, said that he likes having the chance to give back.

“In my life, I’ve been close to this community,” said Dean. “I realized that if things were different, I could be one of these guys.”

For Gai, it didn’t take her long to see just how meaningful it can be to hand out breakfast food to men struggling with the stigma of homelessness.

“My fourth week here, I met a young man who thanked me for smiling at him. It was a simple thing, but it was a big thing,” said Gai. “If we can give something positive to someone like him who really needs it, that’s what it’s all about.”

To learn more about volunteering opportunities at House of Friendship, visit www.houseoffriendship.org/volunteer

The post Sharing Breakfast and a Smile appeared first on House Of Friendship.

A large part of it requires absolutely zero shame or concern for things like ethics, morality and honesty. If one is self-entitled enough then one can simply ignore the standards of society around them. Most of us do care that we have a reputation for honesty and truth telling. Corporations and governments on the other hand in particular simply don't care if the knowledgeable people know they lie like dogs because the knowledgeable people are in the minority. For the ethically impoverished it's all about plausible deniability. As Donald Trump has stated and people (& corporations) of his ilk prefer; he could commit murder in broad daylight in Times Square and never get convicted. To then accuse him of murder after being acquitted by a jury would only make him laugh. 

Uniroyal Chemical and corporate successors have learned how to play the environmental game. They solidify the power and authority of local politicians behind themselves via bribes, gifts, donations, political support or whatever is necessary. They have most likely attended talks, speeches, conferences and private tutoring sessions telling them how to capture the hearts and minds of most of the public. This includes always talking the language of decency, honesty, environmental concern etc. regardless of their actual behavior and actions behind the scenes. In the early days Uniroyal Chemical allegedly refused to attend meetings of CEAC (Citizens Environmental Advisory Committee) according to one  source (Ewa Dabrowska). Uniroyal and successors learned. Now they not only attend but they run the whole show which works far better for them. They own the Woolwich Township TRAC committee through Woolwich Council as they have since 2000 ( UPAC, CPAC, RAC & TAG) when Pat McLean and Susan Bryant sweet talked CPAC into agreeing to the change. Esther Thur, Henry Regier and I all argued against that change to no avail. We had not forgotten how useless Woolwich Council had been in the 1970s, 80s and 90s whereas the others had or never knew. 

Uniroyal/Lanxess will not attend any meeting in which they are outnumbered. They expect and receive deference from all authorities or they simply won't play. Part of their game plan also includes looking for opponents who can be turned for a price. In other words they want and are comfortable dealing with people who switch allegiances once well motivated. Of course those people had better never have a second change of heart if they know what is good for them. Hell hath no fury like a corporation wooed and then scorned.  

Between financially struggling media, dishonest politicians, laws riddled with loopholes, corporate money and influence; our environment, health and futures are in grave jeopardy. 

Setting up your Eyedro Electricity Monitor over WiFi is usually a smooth process. However, if you run into setup bumps, there is a fast, reliable backdoor method: temporarily provisioning WiFi using an Ethernet connection.

Connecting your Eyedro device via Ethernet bypasses local WiFi credential errors, establishes a stable connection to the MyEyedro cloud, and lets you reconfigure your WiFi settings hassle-free.

This troubleshooting approach is ideal if you encounter any of the following:

• Changed WiFi Credentials: You updated your router’s SSID or password, and the Eyedro module can no longer connect.

• Failed Initial Provisioning: Mobile devices keep dropping the Eyedro [xxx-yyyyy] setup network during initial configuration.

• Tricky Network Settings: You are dealing with complex router configurations, ad-blocking DNS setups, or dual-band (2.4GHz / 5GHz) steering issues.

1) Disconnect Power from the Eyedro Unit:

Ensures the device registers hardware changes upon startup.

2) Connect to Your Router via Ethernet:

No sensors required for network configuration.

Run a standard Ethernet patch cable from an active LAN port on your router (or switch) directly into the Eyedro module’s Ethernet port.

The Ethernet cable must be plugged in before power is applied so the Eyedro recognizes the wired interface on boot.

Note: You do not need to move your current CT sensor clamps for this setup—only the Eyedro module and its power supply need to be plugged in near the router.

3) Power Cycle the Device:

Forces the device to bypass old WiFi settings, and also stops the device from broadcasting its WiFi network in the case of first time setup.

Plug the power adapter back into the Eyedro unit. When powered up with an active Ethernet cable attached, the unit automatically ignores existing Wi-Fi configuration settings and routes traffic over the wired LAN connection via DHCP.

4) Add Device to MyEyedro Account or Verify Device is Active if Already Claimed on account:

Verify active communication.

Wait approximately 10 to 15 seconds for startup diagnostic tests to complete:

• Watch the status LEDs: A solid or toggling green light indicates successful internet communication.
• Log into your account at My.Eyedro.com. Your device should now display as Active.

5) Reconfigure or Clear Old WiFi Credentials:

Apply clean 2.4GHz network parameters.

Navigate to the device settings menu in MyEyedro:

1. Select Forget / Clear existing WiFi credentials.
2. Enter your new 2.4GHz WiFi SSID (Network Name) and Password.
3. Double-check for case sensitivity—incorrect capital letters or spaces are the most common cause of setup failures.
4. Save the new parameters.

6) Disconnect Ethernet and Return to Normal WiFi Operation:

Final transition back to wireless mode.

Unplug the power cord, remove the Ethernet cable, and move the Eyedro module back to its permanent installation location. Reapply power; the unit will now connect automatically to your updated WiFi network.

• Verify 2.4GHz Support: Eyedro modules operate exclusively on the 2.4GHz frequency band for better wall penetration. Ensure your router does not force 5GHz-only connections on your smart home hardware.
• Hardware Generation Differences:
  • Gen 6 Devices (Serials starting with A14-1): Support Ethernet hot-swapping (plug and play at any time).
  • Gen 5 Devices (Serials starting with A14-0): Require the Ethernet cable to be connected before powering on the device.
• Firewall & DNS Issues: If the status light fails to turn green even over Ethernet, check if custom router DNS rules (like Pi-hole or AdGuard) are blocking cloud traffic. Switching temporarily to Google DNS (8.8.8.8 / 8.8.4.4) often resolves stubborn connectivity blocks.

For detailed Eyedro product specifications, installation and MyEyedro cloud software information please refer to Eyedro product guides and MyEyedro user guides.

The Canadian Mental Health Association, Brant Haldimand Norfolk Branch (CMHA), is now accepting applications for membership to our Board of Directors. CMHA provides a wide range of community mental health services for people 16 years or older who are experiencing a serious or persistent mental health concern. Volunteers are asked to provide 3-4 hours of their time per month, and meetings always offer a virtual option.

We are committed to reflecting the diversity of the communities we serve, so we strongly encourage candidates with the following skills and life experiences to apply:

• Individuals from the TS & LGBTQIA+ community.
• Indigenous – First Nation, Metis, Inuit community members.
• Individuals from Racialized or Black communities.
• People with Lived Experience or their care partners
• Individuals with financial expertise.
• Individuals with fundraising expertise.
• Individuals with legal expertise.
• Gen Z/Zoomers
• People with Lived Experience or their care partners

www.bhn.cmha.ca

Please direct any enquiries to Jane Eyers from the Governance and Nominations committee at jeyers70@gmail.com.

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Forests Canada is on a mission to conserve, restore and grow Canada’s forests to sustain life and community. For over 75 years, our ambitious, large-scale tree planting programs, landowner forest stewardship outreach, extensive education resources and programs, and decades of community outreach have resulted in millions of trees being planted each year.

Forests Canada works with a trusted network of partners to ensure the long-term health and resiliency of our forests today, and for future generations. From seed to survival to sustainability, we have proudly built the infrastructure and network needed to deliver forest restoration programs focused on improving forest health and advocating for healthy ecosystems, while also inspiring students, connecting communities with their forests, and supporting job growth and local economies.

As a nonprofit registered charity, Forests Canada is governed by a Board of Directors who represent a diversity of experiences, skills, regions and perspectives. We are actively seeking new board members that can bring new perspectives to the board and contribute to our mission. Our Board of Directors provides strategic leadership, vision, and maintains high ethical standards of governance. They engage in effective planning to respond to the needs of our communities and act as stewards of our resources.

We are currently seeking qualified candidates to serve on our volunteer board. Forests Canada’s current recruitment priorities include those individuals with experience in any of the following areas:

• Fundraising – Recognizing funding opportunities and identifying strategic individual and corporate contributors to establish long-term fundraising relationships; experience in developing brands, building and implementing strategic marketing and fundraising plans.
• Professional working experience in the government sector (all levels of government).
• Financial/Accounting/Audit – Certified Public Accountant, experience in corporate finance, audit and financial accounting and reporting standards.

Forests Canada welcomes all applicants. We believe that diversity and inclusion are key to innovation through the sharing of ideas, experiences, and abilities. All qualified applicants will receive consideration without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

• Attend 3-4 Board meetings per year (1 in-person (full-day), 3 virtual (180-minute meetings)).
• Participate in standing and ad hoc committees (Nominations, Governance, Human Resources (NGHR) Committee, Audit and Finance Committee).
• Attend organizational events or meetings as a representative.
• Provide governance over the following key areas: strategic plan, by-laws, board recruitment and development, selection and evaluation of CEO, financial management, fundraising strategy, and ensure that services and programs meet the needs of the people that are served by the organization.
• Advocate among colleagues and peers for our organization.

Directors shall hold office for a term of 3 years and shall be eligible for re-election for two further terms of 3 years for a total of 9 consecutive years. The candidate will be presented to the board for approval in January 2027 with the first board meeting taking place in April 2027. An honorarium may be available.

Applicants should submit:

• A résumé / CV, and
• A letter of interest describing relevant skills, experience, and personal attributes.

Applications will be reviewed by the NGHR Committee. Selected candidates will be notified and interviewed. The application period will close October 15, 2026.

For more information and to submit your interest, please contact, Sylvia Nelson at snelson@forestscanada.ca. More about Forests Canada can be found at www.ForestsCanada.ca

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