Put your agent on a time machine. Free, for 8 weeks.
I'm looking for a small number of teams running LLM agents in production to work with directly. You get a weekly drift report on your actual agent; I get the thing no incumbent has — real operator feedback from the config-rollback trenches.
What you give, what you get.
No hidden asks. This is the entire deal — the same text I send in email.
YOU GIVE
- 30 minutes a week — one feedback call, that's the whole time commitment after onboarding.
- Under 30 minutes to onboard — I do the integration work myself; you review it.
- If the reports prove useful: a quotable sentence and logo permission. Only on success — never before.
YOU GET
- A weekly drift / diff report on your actual agent — which configs changed, which behaviors moved, which change is the suspect.
- A config time machine — every state of your agent's prompt, tools, retrieval, model, and KB, versioned and diffable.
- A direct line to the person building it — your stack decides the roadmap's first adapter, literally.
The trust terms, up front
Local-first: your config never leaves your machine. You run the CLI; secrets are redacted at capture; you share only the report. Mutual NDA available before we discuss anything. No telemetry; delete-on-request. Full details on the security page.
With a pre-agreed definition of success.
We define the activation event at kickoff and check it honestly: the report surfaced at least one change or drift you didn't already know about — and you did something in response. If that never happens, the partnership didn't work, and I'd rather both of us know.
Onboard
Config extracted, eval set drafted from your real cases, first snapshot taken. I do the work; you review it. Target: under 30 minutes of your time.
Activation check
Has a report told you something you didn't know yet? If not, we look at why — usually the eval surface, sometimes the tool.
Review
Mid-point honesty: is the weekly report earning its slot in your inbox? Scope adjustments happen here.
Decide
Continue as a paid pilot (design partners get 50% off year one), or walk away with your snapshots and reports — they're yours either way.
This is for a specific kind of team.
Three slots exist because I do the integration personally and cap my time per partner. So let's not waste yours:
A GREAT FIT IF
- You run at least one LLM agent in production — real users, real consequences, not a prototype.
- Your eng/ML team is roughly 2–20 people — big enough to feel the pain, small enough not to build everything in-house.
- You've felt a silent regression — you can name the incident — or you manually revert configs today.
- Someone owns reliability: an ML platform lead, head of AI engineering, or the senior engineer everyone actually asks.
NOT A FIT IF
- Your agents are demo-stage — come back when they meet users; it'll be cheaper to start clean anyway.
- You version everything in MLflow and it genuinely covers prompt + tools + retrieval + KB together — you've built it; I'd honestly love to hear what it cost.
- You need a compliance certificate more than an answer — agentsnap is an early-stage tool with a local-first architecture, not a certified platform (details).
Also a strong fit: AI agencies and consultancies running many client agents — one tool, N configs, and "reproduce the state a client's agent was in last week" stops being an archaeology project.
Apply in one email.
A few lines about your agent, your stack, and the last time its behavior surprised you. I reply to every application personally — usually within a day.