Gary Michael

Chicago native. Family man and former Chicago Tribune, Chicago Mag and StartupNation publisher now working in the Motor City in AI enablement

[Gary Michael @GARYMCOHN]

@freep @freep star pitcher traded for a bunch of castoffs drafted in the high 300’s and one minor league pitcher who is 0-7 and has been with two teams this year alone. Sell the franchise to new ownership.

[Gary Michael @GARYMCOHN]

@netflix The Netflix logo and sound effect appeared 1,000Xs more than i could have ever imagined. Over production to the maxx.

[Gary Michael @GARYMCOHN]

@MITechWeek #proactivetechnologymsnagement

[Michael Weinberger @WeinbergerPTM]

Marwan’s reminder here is on point.

Critical thinking decay in the AI era is a concern at every level - including a business one.

Leaders who want sharper work need to design systems which preserve critical review.

Here are my 2 cents on how to do that:
https://t.co/VFS9Iu24Re

[Michael Weinberger @WeinbergerPTM]

An effective AI operating model needs:

✔ Business KPIs that guide every initiative

✔ Focused 90-day sprints to deliver proof and value

✔ Governance that streamlines scale

✔ Architecture designed to evolve

✔ Systems that get smarter through use

[Michael Weinberger @WeinbergerPTM]

But that does NOT mean you need to avoid AI development.

The solution is a structured development model: speed with guardrails: a strong data layer, automation backbone, and AI intelligence, with humans still in the loop.

[Michael Weinberger @WeinbergerPTM]

We’ve seen versions of this story unfold in real organizations.

"The Fusion Chronicles" imagines what’s possible when the right architecture supercharges human potential.

I wanted this to surface what often stays hidden. Hope it gets you thinking.

[Michael Weinberger @WeinbergerPTM]

The context revolution is here — but don’t wait for infinite tokens to fix memory and intelligence. Focus on orchestration today for immediate payoff that only multiplies as windows expand.

👉 Read more: https://t.co/nj1hqexivk

👉@_ninza7 on Medium: https://t.co/CdbWMQnN8N

[Michael Weinberger @WeinbergerPTM]

Context orchestration = structuring, retrieving, and optimizing what’s relevant. This approach delivers better results 𝗻𝗼𝘄 — and amplifies the impact of larger windows as they arrive. It saves tokens, cuts latency, reduces risk, and ensures compliance.

[Michael Weinberger @WeinbergerPTM]

Claude’s new 1M-token context window is blowing past expectations. https://t.co/tOebl7MPRX’s GLM-4.6 just leapt to 200K.

Hard to believe that just last year most users were capped at ~32K (GPT-4’s limit). By 2026, million-token windows will be baseline, not breakthrough.

[Michael Weinberger @WeinbergerPTM]

A new CEO walks into operational chaos:
🔸 17 spreadsheets
🔸 3 crashing systems
🔸 $125K shipment error

What follows is fiction - barely.

"The Fusion Chronicles" is a dramatized story of transformation at the edge of chaos and AI.
👇
https://t.co/JkEPolVDHv

[Michael Weinberger @WeinbergerPTM]

We wrote it like a novel. But the dysfunction is real:

• Manual workarounds
• Disconnected systems
• Brilliant people stuck in broken processes

Call it a thought experiment in what intelligent operations could - and should - look like.

[Michael Weinberger @WeinbergerPTM]

AI vibe coding is fast - maybe too fast. Great for speed-to-market, but the risks are real: fragile apps buckle under real-world load, security flaws put data at risk, and cleanup costs more than building it right.

[Michael Weinberger @WeinbergerPTM]

The winning 5% do things differently:
✅ Demand ROI from day one
✅ Build systems with memory & learning
✅ Govern AI like a managed process, not a tech experiment

[Michael Weinberger @WeinbergerPTM]

Still the best framework out there for building systems that earn trust, not just attention. (A.k.a. how you avoid building something shiny... and strategically useless.)

𝘓𝘦𝘢𝘳𝘯 𝘮𝘰𝘳𝘦: 
https://t.co/iZrQsJl03V

[Michael Weinberger @WeinbergerPTM]

Strong builders, on the other hand, structure those principles into all phases of their work:

Design → Governance & context (Map)
Implementation → Measurability & risk reduction
Operation → Continuous oversight & learning (Manage)

[Michael Weinberger @WeinbergerPTM]

Automation without redesign is shallow and risky.

With the right operating model, AI becomes a force for real (and meaningful) transformation.
Strategic ownership is what turns scattered initiatives into compounding value.
👉https://t.co/hKXcmoo6f7

[Michael Weinberger @WeinbergerPTM]

Why do so many AI initiatives stall before they scale?

The missing piece is strategic ownership.
AI becomes profitable when it’s driven by executive intent—when the required outcomes are clear, and the leadership is accountable.

[Michael Weinberger @WeinbergerPTM]

Clearly @NIST saw the risks of AI investments going sideways: FOMO-fueled pilots, rushed deployments, and tactical plays lacking strategic coherence.

Their 2022 AI Risk Management Framework may not be new, but it sure has aged well.