Find the Best AI Agent Behavior
— Automatically

Run live experiments, compare variants, and let your agents learn which strategy performs best — in real-time, without manual testing.

Works with:
Claude Code
ChatGPT MCP
LangChain

The Problem: Your AI Agent Can't Learn

Most AI agents are stuck with fixed prompts and static configurations. When you change a prompt, you're guessing whether it's better. There's no feedback loop, no learning, no adaptation.

Converges Fast
Thompson Sampling finds the best variant in 50-150 evaluations. No weeks of manual A/B testing — learn what works in hours.
Lightning Fast Selection
Sub-10ms variant selection means your agent never waits. Make decisions in real-time without sacrificing intelligence.
Privacy First
Your experiments stay yours. Automatic 7-day expiration. Isolated by experiment ID. No cross-experiment data sharing.

The Solution: Continuous Optimization

ImproveFast provides the feedback loop your agents need. It runs live experiments, compares variants in real-time, and learns which approaches work best in production — automatically adapting as your agent runs.

Before vs After ImproveFast

Before ImproveFast
×Manual A/B testing takes weeks
×No idea which prompt actually works
×Deploy, test, redeploy cycle
With ImproveFast
Learns best variant in hours, not weeks
Real production data guides decisions
Deploy once, optimize continuously

No Installation. No Configuration. Just Works.

The ImproveFast server is already running. One command to start optimizing.

claude mcp add --transport http improve-fast https://improve.fast/mcp

For Claude Desktop, Cursor, or other MCP clients, see the getting started guide.

▸ 30-second setup
◉ Hosted service
◆ Free to use

When ImproveFast Fits Best

You have multiple variants or strategies to compare.
You get feedback quickly (seconds or minutes).
You want the system to learn as it runs.
!
Avoid if outcomes are slow or safety-critical.

Example Workflow

Agent
select
ImproveFast
run variant
record
ImproveFast
status

Frequently Asked Questions

How long until I see results?

Most experiments converge in 50-150 evaluations. If your agent handles 10 requests/hour, you'll have a winner in 5-15 hours.

Is my data private?

Yes. Experiments are isolated by ID and expire after 7 days. Your experiment data is stored only for the duration needed to run your optimization, then automatically deleted.

What if I have 10 variants?

Thompson Sampling works with any number of variants. More variants need more evaluations (~50 per variant), but the algorithm efficiently focuses on promising candidates.