I spent 20+ years as a marketing executive at Disney, Hasbro, and Bank of America. I built systems that drove hundreds of millions in revenue. I became a CMO by seeing what others didn't: the future belonged to whoever moved fastest and leveraged technology best. Then AI hit. Not as a tool. As a complete market reset. I saw the same inflection point I'd ridden to the top in digital. Except this time, the opportunity wasn't just for enterprises with massive budgets. AI was democratizing what used to require full marketing teams and seven-figure spends. So I left. Not because corporate was broken. Because I saw where the leverage was moving. Now I publish five AI prompts every week that solopreneurs can paste into ChatGPT or Claude to solve a real business problem. Positioning. Content. Pricing. Systems. Strategy. No theory. No fluff. Just prompts that work. Follow for the threads. Subscribe + follow: fiveprompts.com

This is such a clear example of the massive hypocrisy in AI leadership. The false cry that they believe AI will end the world by the end of the decade and the need for slow down (which they could do themselves but they want the government to step in to avoid antitrust) is no more clearly evidenced by the fact that they’re planning to launch a brand new model ahead of their recently announced IPO to keep pace with OpenAI competition. Talking out both sides of the mouth. 100% proof that the narrative we bought around Anthropic being the ethical company turns out to just be another marketing tactic after all.

“Whoever wins AI, wins.”

17/ The playbook, stripped 1. Pick a messenger with real credentials and a clean profile 2. Land the exclusive at a paper of record first 3. Post 15-20 minutes later from a quiet account 4. Have policy allies quote in the first 15 minutes 5. Get an inside confirm the same night 6. Write one sentence a senator can read cold 7. Book the tour before the weekend dies 8. Convert heat into letters, hearings, and bill text That is not journalism luck. That is distribution.

15/ You do not spend a 100-million-view asset in January. You spend it when: - members are home or about to be - the other side cannot pass a competing frame in time - IPO / valuation noise makes "responsible lab" useful - the public already has a vague AI anxiety and needs a face Sept 8-9 into an Oct-Nov calendar is the window.

14/ The conversion, on schedule Within days: - 20+ members of Congress citing the post - Sanders talking ban-superintelligence language - House members asking to cancel recess - Thune / Cruz / Klobuchar oxygen for a bill that turns voluntary safety pledges into government power over frontier releases - OpenAI policy saying it will work with Congress on mandatory rules That is the call to action after the ad.

13/ Why the timing is perfect US midterms: November 3, 2026. Congress is nearly out of session. House looking at a long recess. Tiny window to move text before a new Congress. AI was already a ballot issue: data centers, power bills, jobs, deepfakes. What it lacked was one member-ready sentence. This supplied it.

12/ Piece D: virality as truth 100 million views is not a finding. It is what happens when you stack: 1. prestige exclusive 2. dormant account 3. primed policy amplifiers in minute 1-15 4. an inside confirm the same night 5. a first line built for quote-tweets Reach measures the machine. It does not grade the forecast.

11/ Piece C: evals as murder People glued this to older Anthropic papers where models, in stacked fictional setups, blackmail or cancel a rescue to avoid shutdown. Those are lab scenarios. Not Claude killing someone in the world. The launch did not need to say "murder." The feed already had the image. The resignation sentence snapped onto it.

10/ Piece B: the purity costume New account. Four months at Anthropic. Left before equity vested. "I have nothing to gain by juicing the valuation." That is a strong credibility move. It is also casting. Short tenure plus money left on the table plus a blank profile is how you make a messenger look uncaptured.

8/ The amplification machine 48 hours: Wired, Axios, Fox, CBS, Time, CNN. 100 million-plus views on the opener. Stanford Tech Review later noted most people never read past post one. The argument lived in posts 2-7. The asset that moved was the first four sentences. That is headline design. Not an accident of reading habits.

5/ The first 15 minutes An account with no audience does not organically get elite quote posts in minutes. Early amplifiers were not random tech posters. They were AI-safety policy shops: Encode (Nathan Calvin) AI Policy Network (Peter Wildeford) AI Futures Project / AI 2027 (Daniel Kokotajlo) That is a distribution list, not a coincidence.