I just completed a 2-3 week project setup in 30 minutes using 5 specialized Claude AI Skills that work as an integrated construction team.
Watch the full process in this video. ⬇️
Complete breakdown + all 5 https://t.co/UBV3BGoznU files: https://t.co/OaCcXEMpOg
Enjoy the summer, but don't forget it's a great time to think about controls optimization to get us ready for the next heating season.
Get your projects done while the heating system is turned off!
It's taken for granted in real estate that NYC apartment buildings are worth more when vacant. But any normal person would say that's wacky, and induces owners to not fill units when a tenant leaves. How many elected officials even know their role in this?
https://t.co/3jfg0iG6iU
1/New York just became the first US state to require advertisers to disclose AI-generated people in ads.
It takes effect June 9, 2026. If you run paid media, you have days, not months.
Here's what it actually means for your brand or agency. 🧵
In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:
1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.
2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.
3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.
4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.
5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.
6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.
7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.
8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.
9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).
10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.
Trying to save money on a construction project?
There are multiple levels to save costs by purchasing materials direct as the owner (with increasing complexity and headaches).
Level 1: plumbing and light fixtures
Level 2: wall and floor finishes, wallpaper, countertop slabs, doors, hardware
Level 3: ancillaries and day-to-day materials—Sheetrock, transitions, grout, mortar, compound, etc.
Stick to Levels 1 and 2. Any further and the juice isn’t worth the squeeze.
Real estate development vs. investment vs. management:
Real estate development requires relentless optimism.
Real estate investment requires a bias to pessimism.
Real estate management requires neutrality.
Real estate development requires blinders-on focus.
Real estate investment requires expansive curiosity.
Real estate management requires repetitive execution.
Real estate development requires persistence.
Real estate investment requires dispassion.
Real estate management requires urgency.
The trick for good operators is navigating all three.
@Cyoung_11 Most of our buildings run on PID loops now, which is not AI but also is continuously adjusting for the best energy usage.
Some companies have pitched an additional AI layer on top of our BAS systems, but we have platform fatigue...
5,700+ grocery stores in NYC.
Every one of them runs refrigeration 24/7.
Every one of them rejects massive amounts of heat.
In Stockholm, a 5,400 SF supermarket on the ground floor of a 25-unit residential building recovers condenser heat and supplies it to the apartments above.
Field-measured results: 75% of combined heating demand covered in spring. 23% annual energy cost reduction. 38% combined savings when exporting heat to residents.
In NYC, with utility costs and LL97 penalties, the economic case is even stronger than Stockholm’s. I write the full breakdown in Building as a Body — Part 2: The Circulatory System.
Link in first comment.
Thanks to the Ruhl TecConsult team for their engineering collaboration on these two NYC projects.
#HeatRecovery #MixedUse #NYCRealEstate #LL97 #Decarbonization #ConstructionManagement
When Shopify stock dropped 80% from all-time highs some employees were left with stock options that were essentially worthless.
So @tobi completely rebuilt Shopify’s compensation structure in a way no other company does: letting employees choose how much they want to be paid in stock, RSUs, cash, and even Shop Cash.
“ You can change it every quarter. You decide how much money you want.”
“ You can even use a tool to lock in the value of the stock you receive for three years.”
“ You have full agency and you make this choice.”
“ It's very popular.”
5,700+ grocery stores in NYC.
Every one of them runs refrigeration 24/7.
Every one of them rejects massive amounts of heat.
In Stockholm, a 5,400 SF supermarket on the ground floor of a 25-unit residential building recovers condenser heat and supplies it to the apartments above.
Field-measured results: 75% of combined heating demand covered in spring. 23% annual energy cost reduction. 38% combined savings when exporting heat to residents.
In NYC, with utility costs and LL97 penalties, the economic case is even stronger than Stockholm’s. I write the full breakdown in Building as a Body — Part 2: The Circulatory System.
Link in first comment.
Thanks to the Ruhl TecConsult team for their engineering collaboration on these two NYC projects.
#HeatRecovery #MixedUse #NYCRealEstate #LL97 #Decarbonization #ConstructionManagement