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Your AI agent, more useful every day.

Your agent works, but some answers or costs cause problems. We start with real exchanges and observed errors to improve the system and evaluate each change.

A specific use.

  • Unreliable answers

    Examine missing sources, instructions and recurring errors.

  • High costs or latency

    Observe the calls and steps that add cost to a complete task.

  • New use cases

    Extend a connection or remit while reviewing permissions and approvals.

What we improve.

  1. A measured baseline

    A set of examples and an assessment of accessible responses, timings and costs.

    An evaluation set of fifty real exchanges in your repository, each recording today’s score, latency and cost per run.

  2. Compared adjustments

    Source, instruction or workflow changes evaluated against the same cases.

    Prompt and retrieval changes in version control, each with the evaluation run that justified keeping it.

  3. A monitoring framework

    Indicators, regression checks and situations to escalate to a person.

    The evaluation suite wired into your pipeline, so a change that lowers the score fails before it deploys.

How long it takes.

Three to four weeks to build the evaluation set and measure where the agent stands, the spread depending on how much of your traffic is already logged. Then week-long cycles against that same set. You see the first scored comparison at the end of that first phase, and every change after it is kept or dropped on a number.

What we need from you.

  1. Real transcripts, the embarrassing ones included

    A few hundred logged exchanges with the failures left in. An agent tuned only on its good days gets worse once it ships, because the cases it breaks on were never in the sample.

  2. Someone who can say which answer was right

    A person from the business willing to grade fifty answers and defend the grading afterwards. An evaluation set is only worth the judgement behind it, and that judgement cannot be borrowed from us.

  3. A cost per task you will stand behind

    Quality and cost trade against each other on every call. Say what one completed task is allowed to cost, in cents and in seconds, or each comparison ends in a shrug.

The same project, at another stage.