Non-technical founders are being told they can replace a senior engineer with AI and “move faster.” In reality, that’s how you end up shipping bugs, breaking prod, and losing control of what’s actually true in your system.
In this new piece I share a real incident (119,747 restarts in 6 hours) and the Trust Enablement Control Plane (TECP) pattern I now use so AI-driven changes stay observable, reversible, and investor-safe—even if you can’t read the code yourself.
If you’re leading a product without a deep tech background, this is the AI playbook I wish I’d had 👇
Replacing a Senior Engineer with AI: Possible, Getting Easier, Still Dangerous linkedin.com/pulse/replacing…
Voluntary AI codes don't fail because the people writing them lack integrity.
They fail because competitive pressure selects against them.
If following the framework costs you a deal, the framework loses.
That's not a values problem. It's a market structure problem.
Enforceable evidence standards are the only mechanism that survives.
The argument for AI restriction: fewer AI systems = less risk.
The problem: restriction concentrates AI power in the hands of the few who ignore it.
The sustainable path: governed proliferation.
More AI at the edges. Better governed. Verifiable controls. Human agency preserved.
Not less AI. Less ungoverned AI.
1/ Who authorized this action?
Not "what policy permits it." Who — specifically — issued the authorization for this AI to act in this context, at this time.
These aren't exotic requirements.
Authorization tickets, execution receipts, immutable ledgers, delegation records — established engineering patterns.
Making them mandatory at the execution boundary, not optional afterthoughts.
Full paper: linkedin.com/pulse/governed-…
The real gap is at execution: AI acts, outcomes happen, and no one can reconstruct who authorized what, under what conditions, or with what oversight.
That's not a values problem. It's a missing infrastructure layer.
linkedin.com/pulse/governed-…
AI and talent ROI often break down at the same point: the proof layer.
Adoption metrics miss whether follow-through behaviors actually happened.
Behavioral data may be the missing signal.
Discussing this with Dr. Carylynn Larson in our upcoming webinar:
us06web.zoom.us/meeting/regi…
AI and talent ROI often break down at the same point: the proof layer.
Behavioral data may be the missing signal.
Discussing this with Dr. Carylynn Larson in our next webinar.
Register: us06web.zoom.us/meeting/regi…
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"When two roads lead to ruin, wisdom builds a third way."
To ensure AI serves everyone, we’re building it open from day one.
Today we release the foundations:
🔹 Master Plan: our strategic blueprint
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🔹 Symbioism: our core philosophy
The future is about to change.
Let's change it together.
Economics was built for scarcity.
The Intelligence Age is about abundance.
Today we release our book, The Last Economy, introducing Intelligent Economics, a unified theory for this new era.
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