Lenny’s AI Builders
i’m Lennox. i sift through AI Twitter and share one thing i tried with ChatGPT. for people making products, content and useful systems. five emails a week, with a weekly option.
feedback becomes software
one of my thumbnails had logos that looked pasted on. i said so. the next batch looked better. i wanted the fix to stick for the next job too.
the useful move is small: find the rule that made the mistake, change that rule, then check the next result.
why this matters
a chat can say “i’ll remember.” your next job may start in a new chat. the fix needs a home - the one skill, rule or module that owns that part of the work.
that gives you three useful things:
- less repeating yourself. the next run can read the changed rule.
- a smaller fix. one thumbnail note does not rewrite every part of your workflow.
- a check you can see. the next output either has the same problem or it doesn’t.
copy this prompt
replace [correction] with the exact thing you saw. “the logos look pasted on” is useful. “make it better” makes the next agent guess.
LAB remember this: [correction]. zoom out first. find the one skill, rule, or module that owns the behavior. show the smallest before/after change, apply it there, and prove it on the next run. keep one-off feedback scoped to this job.do it in five steps
- name one mistake you can point to in the work.
- find the instruction that controls it. if the note is only for this job, keep it here.
- read the before and after. make sure the new rule fixes your note without adding things you never asked for.
- save the change in that instruction, not only in the chat.
- run the job again and look for the same mistake.
the test is the next output. a saved rule on its own proves nothing.
the rest of this LAB
seven stories led to the practical. Jev showed a narrow browser task. CUA-S1 split form answers from the clicks. a handoff file helped the next chat pick up a long job.
Anthropic reported Claude led 26% of its measured AI research work, with none of that work fully autonomous. OpenAI announced limited access to Astra for Law.
i also talked about the Codex reset promise and a proposed way to carry agent skills between apps.
these were the source states shown or discussed in the recording on 20 September 2026, not a claim that every promise or demo has since shipped. the legal job forecast is my opinion. the thumbnail fix is an artwork result, not a business result.
sources
- Tibo’s Codex reset reply
- Shiv’s Jev browser demo
- CUA-S1 forms announcement
- Riley’s agent-portability proposal
- Vox’s HANDOFF.md prompt
- Anthropic’s AI research measurement
- OpenAI’s Astra for Law announcement
more to watch or use
- watch LAB 0004
- get my public goal skill - the handoff example i use. no signup needed.
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