The Recognition Engineering Playbook
The playbook for operators who refuse to be erased.
This is the exact playbook I’m running myself, in real time, to engineer recognition across my companies. Now shared as a briefing deck.
It’s not “content.” It’s operating system.
Credibility / Framing
AI isn’t killing opportunity, it’s killing indistinguishability.
In the trust layer, what compounds is Recognition Capital, who’s
remembered and referenced when the dust settles.
This deck is the shortest path to separation I know: clear signals, live examples, and what to ignore.
What’s inside
- Why reach is dying / recognition is rising - and how to pivot now
- The 3 machine-readable trust signals already being indexed
- Turning lived experience into source material (RALS + Polaris)
- Building a Recognition Graph (cross-domain architecture that lasts)
- Proof-of-foresight: timestamp → validate → cross-link (with real cases from Dealer Insider, Influence.VIN, RecognitionCapital)
- Practical checklists to be unignorable without playing the algorithm circus
Why share it?
Because I’m already using it.
One candle doesn’t get dimmer by lighting another.
People who get it now will be impossible to miss later.
Free, for now. Sent instantly.
No spam. Occasional field briefs only. Unsubscribe anytime.
Built by a lived operator. No agency gloss. This is the system I’m actually running.
