Poteto mode: verification is the infrastructure
Poteto mode is lauren's (@poteto) way of working with agents. You set up the environment well enough that you can trust their work when you are not watching, and a job is done when it is verified, not when it looks finished.
The playbook
The playbook starts from trust. In her talk "here's how i shipped 2,500 PRs last month to production", lauren says the reason people get stuck babysitting one to five agents is that they do not trust the work yet. Her first fix was verification: a skill that teaches the agent to run the app, take traces, and collect evidence that the code works. Her team found these skills so useful that they became more or less critical infrastructure, and they maintain them constantly.
Verification covers correctness, not quality. For quality she built pstack, a plugin of skills drawn from her own engineering workflows, such as debugging, feature development, and prototyping. Its README sets the bar: "if you want to go fast, go deep first." Its poteto-mode skill describes the style as concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work, guided by 24 principles that include Laziness Protocol, Subtract Before You Add, Experience First, Prove It Works, and Model the Domain. Under the skills sit harder constraints: a codebase where the mistake is categorically impossible, then lint rules, then rules and code review bots.
How a Grok Bot runs poteto mode
Build a verification skill
Ship a CLI inside the skill directory so every agent runs the app and collects evidence the same way, instead of writing new scripts each session. Add a feature map: what each feature does and how a user reaches it. pstack creates both with
/create-verification-skill, and lauren runs/maintain-verification-skillat least once a day so the map stays current.Teach quality with skills
pstack carries 23 playbooks, for work such as bug fixes, performance, shipping, and evals, so agents write code the way an experienced engineer would. On a Grok Bot, setup-pstack runs first, then a verification skill is created for a real repo that has none.
Turn mistakes into constraints
When a mistake repeats, fix it at the highest level that works: architecture first, then types, then a lint rule, then tests, with docs last. pstack's
/correctskill runs this pass. Workaround comments get copied, so they are not left behind as precedent.Coordinate, do not code
lauren treats her bots as coordinators who spawn and supervise cloud agents instead of doing the work themselves. Grok Bot routines connect tools such as Slack and Sentry, so a report can start a cloud agent that reproduces it with the verification skill.
Inspired templates1
A template is listed here only when its own name, skills, or memories follow poteto mode as a coding loop: work handed to cloud agents, a verification skill as the bar for done, no local writing. Bots that delegate coding differently, such as steering one long-lived agent, are not listed.
Lauren Bot
A coding coordinator: Cursor cloud agents write the code, it launches one job per agent, verifies everything end to end, and reports in plain words. For develo…
- Memories7
- Skills5
- Routines1
More playbooks
All playbooks- 01Land first, sample aftermerge on proof, review later
@poteto - 02Chief of staffthe one Grok Bot you talk to, layers that delegate
@poteto - 04Gardenermake each repeated mistake impossible
@poteto - 05Dr Eggbota bot that designs your other bots
@poteto - 06Haggle Botfind the savings, draft the counter
- 07tinkabotwrap an API as a plugin
@poteto - 08Atelierone look for every piece
@arni0x9053 - 09Bennytriage, reproduce, then fix
@poteto

