Sharpen your prompts. Pick your models. Ship with confidence.
Kalibrate helps your whole team improve the prompts running your AI product — iterate agentically, compare models on real examples, and push the best version live without waiting on engineering.
Versions
- v42prod
- v4195.2%
- v4094.8%
- v3994.1%
Evals
- Tone match98%
- Factuality96%
- Safety100%
- Latency p951.2s
Prompt
You are a senior support engineer. Classify the user
message, extract the affected product, and draft a
reply grounded in the linked docs.
// tools
search_docs(query), escalate(reason)
Regression run — 1,284 cases
Passed 1,261 · Regressed 23 · Δ vs v41 +1.1%
●The problem
Your prompts are running. Nobody wants to touch them.
Every team building with AI has the same quiet problem. The "good" version of the prompt was found through weeks of trial and error, pasted into the code, and frozen — running on a model that's now expensive, probably outdated, and impossible to improve without risking what already works.
The prompt is load-bearing. Nobody wants to touch it.
The 'good' version was found through weeks of trial and error, pasted into the codebase, and frozen in time. It's running on a model that's now expensive, probably outdated, and impossible to improve without risking what already works.
Iteration lives in browser tabs and Notion docs.
Open Claude in a tab. Paste the prompt. Paste a test input. Tweak three words. Read the output again. Make a subjective call. Lose track of which version was which. Every session starts from scratch instead of compounding.
Choosing a model feels like reading tea leaves.
A new model drops every few weeks claiming to be cheaper, faster, smarter. You have no practical way to test whether the current prompt works on it — so you default to whichever provider you started with.
●How Kalibrate helps
Built for the way AI teams actually work
Sharpen prompts agentically, with evidence
Bring a rough improvement idea. The agentic wizard walks it toward a stronger version, backed by the examples that actually matter to your product — instead of leaving you to guess. Every promotion is a defensible decision, not a gut call.
See it in action●Workflows
The building blocks of a calibrated AI workflow
Agentic prompt wizard
The wizard takes a rough idea and walks it toward a tested version. Real examples, real outputs, real evidence — instead of guessing at three-word tweaks in a browser tab.
Real examples, not toy inputs
Quality judgments stay grounded in the inputs your product actually sees. Promote real interactions into the test set in one click; never make a release call on synthetic data again.
Side-by-side model comparison
Run GPT, Claude, Gemini, and open-source models on the same prompt and the same examples. Pick on evidence, not on whichever provider happened to be wired up first.
Cost difference, instantly visible
Quality and cost shown side by side. Surface the cases where a cheaper model is genuinely good enough — and the cases where it isn't — without leaving the workshop.
One canonical home for production prompts
What's in Kalibrate is what's running in your app. No shadow copies in the codebase, no Notion doc that disagrees with reality. 'Which version is live?' has an instant answer.
●Built for your role
A workshop for the whole AI team
From the founder writing the prompt to the engineer integrating the runtime — Kalibrate is built around the handoff, not around any one role.
Stop being afraid of your own prompts
You wrote the prompt running your AI product. You also can't touch it without filing a ticket. Kalibrate gives founders the workshop to improve, test, and ship prompts with evidence — and the model decision behind them — without the engineering tax on every change.
Learn moreStop guessing. Start calibrating.
Better prompts, the right models, shipped without a ticket. The same workshop your team is already trying to build out of browser tabs and Notion docs — but designed for the way AI teams actually work.