A team of AI helpers that makes my writing sound like me — not like a robot. It has to pass a strict test before anything ships.
Slide Bullets
Before any writing starts, one AI helper (Scout) looks up real facts about the company — so the writing isn't generic
Another AI helper (Scribe) writes the first draft in Jeff's own style — copying patterns like sentence length and how often he hedges, not just "sounding nice"
A simple computer program (Inspector) checks the draft against a rule list — banned words, sentence length, and more — before any AI even looks at it
A different AI (Critic) checks the writing for anything that sounds robotic — it's better at catching those mistakes in someone else's writing than in its own
For persuasive pieces like cover letters, one more check (Miller) makes sure the writing tells a good story — a hero, a problem, and a clear next step
Proof Points
15 pieces of writing have gone through this process: 4 cover letters, 7 LinkedIn posts, 4 articles and internal docs
Every piece gets checked 4 to 5 times before it's done — no skipping steps
The rule is simple: if Jeff has to rewrite more than 3 out of every 10 words, the system failed — that number was set before any work started
Before writing a single word, someone reviewed the whole plan and confirmed it would work — and gave it a 95% passing grade
Origin: A cover letter for a finance-tech job completely missed two tools the company actually used. It read like generic AI writing with no real research behind it. That mistake is why this whole system exists.
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Ship Pipeline — 4-Agent Code Quality Gate
I don't know how to code — but I ship real, working software. Four AI helpers check every step, and one of them can physically stop a launch if something's wrong.
Slide Bullets
Before any code gets written, an AI reviewer checks the plan and has to approve it first — this app's plan got a 95% pass
One AI explores the existing code and builds a plan; a second AI writes 80–90% of the actual code — Claude manages the process, and Jeff reviews and approves everything
A dedicated AI checks every update for common security problems — weak passwords, exposed secrets, known bugs — before anything goes live
The last check isn't just a suggestion — it's a script that can physically stop the launch if something fails
Proof Points
Found and fixed 15 security problems on one project before it ever went live
An automatic scanner found and fixed 29 known security bugs — 7 of them in a single sitting
Every check passed clean the day this app launched to the public
Built solo in about 15 work sessions: a working scoring system, 63 automatic tests, a full security check, and a live, working app
Made the app's slowest pages up to 232 times faster — fixed before real users ever noticed