Prompt whack a mole sucks. Getting out of it with evals for fuzzy "evals" (especially for vibey tasks) is impossible. Prompting for every user? Not scalable. Evals for your vibey agent? Where do you even start? For those who've found PMF, how do you show ROI with AI quality improvements?Rawdogging prompts without evals?

The problem: LLM agents in production hit KPI plateaus because improving them is manual, noisy, and slow: engineers sift through mountains of logs & Slack screenshots, guess at prompt tweaks, and burn days opening small PRs that may not move the metric.

Our solution: Automate user feedback into prompt improvements for your AI agents.

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If you’re ready to take your AI agent to the next level, we'd love to help you out: cal.com/team/zenbase-ai/pixel-priority

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Try our local CLI

We made an easy-to-use CLI (GitHub) that:

1. Analyzes your agent
2. Generates synthetic data (or use your own)
3. Generates an eval
4. Optimizes the prompts

All with a single command: pip install aiai && aiai.

(There's also a self-runnable demo agent if you just want to see it in action.)

Join our design partner program

Put AI improvement on autopilot

1. Connect to GitHub + Slack
2. Log ingestion
3. Optimization digests via Slack
4. AI generated PRs
5. AI KPI improvements on autopilot