Prompt Tune-Up · The fastest win

Your prompts, measurably better in one week.

We benchmark your agent’s current prompts on real cases, rewrite them for tool use, multi-step reasoning, and handoffs, then hand back side-by-side proof: accuracy up, tokens down, edge cases fixed before your users find them.

Book a call, scope your tune-up
30-min call, no prep · scope in 48h · first $200 free
Prompt tune-upsame 247 cases
accuracy71%92%
tokens / call3,9701,240
edge cases failing120
before and after, on the same cases, graded by hand
Why it matters

Your prompts grew by accretion, one patched rule at a time.Now nobody dares delete a line, and every call ships the whole pile.

Models follow ten clear instructions better than forty contradictory ones. Shorter isn’t just cheaper. It’s usually better.

Tuned for agents, not chatbots.

A chat prompt that’s right 90% of the time feels fine. An agent that runs ten steps at 90% per step finishes barely a third of its tasks. Agent prompts fail differently, so we tune the parts chat prompts never needed: tool definitions, act-vs-ask rules, recovery paths, and handoff formats. Then we prove it, case by case, graded by hand.

What you get
What it does for you
A graded baseline first
Your current prompts scored on your real inputs before anything changes, so “better” means better than a number, not a feeling.
Agent-grade prompt rewrite
Tool definitions, act-vs-ask rules, recovery paths, and handoff formats tuned for multi-step work, not just nicer wording.
A leaner context window
Redundant rules, stale examples, and dead warnings cut, so every call costs less and the instructions that stay actually get followed.
Edge cases fixed, not papered over
The weird inputs that made your agent wobble are re-run and re-graded until they pass, before your users find them.
Side-by-side proof report
Old and new prompts run on the same cases: accuracy up, tokens down, and every claim traceable to a hand-graded case.
The graded cases, yours to keep
The before/after set seeds your golden dataset, so the next prompt change starts with a baseline instead of vibes.

Who this is for

Best for you if
Your agent's prompts have grown for a year and nobody dares touch them
You're paying for thousands of prompt tokens on every single call
Prompt changes ship on vibes, with no baseline to compare against
Your agent demos clean but wobbles on real inputs
Not for you if
You're pre-product, with no prompts in front of users yet
Your prompts are already benchmarked on every change

Benefits of a Prompt Tune-Up

Prompts engineered for agents: tool definitions, act-vs-ask rules, and handoff formats, not just nicer wording.
Token bills drop. Bloated context and redundant instructions get cut, so the same quality costs less on every call.
Edge cases surface before your users find them. Every rewrite is tested against your real inputs, including the weird ones.
Proof, not vibes. Old and new prompts run on the same cases: accuracy up, cost down, in numbers you can show your team.
No silent regressions. Anything the rewrite breaks shows up in the side-by-side, not in production.
The benchmark stays yours. The graded cases become the seed of your golden dataset, so the next change has a baseline too.

See what we cut, on us.

Your first agent is scoped as a pilot. The first $200 of hand-graded evaluation is free: credited toward your retainer if you continue, yours to keep if you don't.

First $200 freeCredited if you continueThe prompts and report are yours either wayNo commitment
Book a call, claim your $200 pilot
30-min call, no prep · scope in 48h

What happens after you book

01A 30-minute call

An engineer scopes your agent with you. No deck, no prep.

02A written scope in 48 hours

What we'd test, how we'd grade it, and what it costs.

03Your first report within the week

Your tuned prompts and the before/after report land within the week. Keep both either way. First $200 on us.

No codebase, no integration sprint. Your engineers stay on the roadmap.

Questions we get asked frequently

Is this just prompt rewriting?
No. We benchmark your current prompts on real cases first, rewrite, then re-grade the same cases. The rewrite ships only if the numbers move: accuracy up, tokens down, failures fixed. If a change makes something worse, you see it in the side-by-side, not in production.
Can't we just ask an LLM to improve our prompts?
You can, and you'll get different prompts. Without a baseline you can't tell different from better, and you won't see what the new wording silently broke. The value here isn't the rewriting, it's the hand-graded before/after that proves it.
How is this different from Gold Standard Eval?
Gold Standard Eval builds the fixed standard your agent is measured against. Prompt Tune-Up is the fastest win on top of that idea: a focused pass on your prompts, proven against graded cases. Those cases become the seed of a golden dataset if you continue.
Do you need our codebase?
No. We work from your prompts, tools, and example runs, and run against your demo or API. There's no integration sprint.

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Set the bar
Gold Standard Evals

A custom rubric and a hand-graded golden dataset built around your agent: the fixed reference standard every eval, benchmark, and release measures against.

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Hold the bar
Release Benchmarks

A private suite of frozen cases re-graded by hand every release, so wrong tool calls, broken trajectories, and unsafe actions surface as regressions, not incidents.

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Map the agents
Multi-Agent Audit

A hand-graded map of how your agents work together: routing, tool calls, retries, and agent-to-agent handoffs, scored privately and reproducibly, so you see what holds up and what quietly breaks.

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Your eval partners

Stop shipping prompt changes on vibes.

One week. Your prompts rewritten for agents and proven side by side, on real cases graded by hand.

Book a call with an engineer