What we build
Agent Monitoring & Tune-Up
Monthly retainer that watches your agent's accuracy, fixes drift, and adds new skills.
What it is
We track every conversation, flag wrong or risky answers, retrain when your data or models change, and ship monthly improvements. Includes a quality dashboard and a named engineer on Slack.
What you walk away with
Monthly accuracy report, fixes, and new capabilities added on request.
Every conversation tracked — wrong, risky, or low-confidence answers flagged for review.
Monthly accuracy report with examples and root-cause notes.
Drift fixes when your data, models, or policies change.
New capabilities added to your agent on request, scoped each month.
A named engineer on Slack — the same person who shipped the agent.
Who it’s for
Companies running an AI agent in production who don't have an in-house ML team.
Common concerns
What we’ve already thought about.
Cost shock
Fixed monthly retainer plus token usage. We track every dollar and flag spikes before they show on the invoice.
Control and visibility
Monthly accuracy report covers every flagged answer, edge case caught, and tune we shipped. You see exactly what changed.
Demo-to-prod gap
We watch what your agent does in production every day, not just during launch week. Drift, edge cases, model regressions — all caught before they reach customers.
