Windows & Linux coming soon
Most AI teams sit idle when you stop talking. Agent Trainer puts that time to use — reviewing what each agent did, finding mistakes, writing better instructions, and sharing lessons across your whole team. Your AI gets smarter every single day, without you lifting a finger.
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You correct your AI. It fixes the immediate problem. Then next week, it makes the exact same mistake again. Or a different agent on your team makes it. Lessons don't stick, and they definitely don't spread.
You corrected your AI last Tuesday. It did the same thing again on Friday. Corrections don't stick because nobody writes them down where agents will actually read them.
Your main agent figured out the right way to handle something. But your other agents? They have no idea. Lessons stay locked in one agent's head instead of benefiting the whole team.
When you stop chatting, your AI just... waits. All that quiet time — nights, weekends, lunch breaks — could be used to actually get better. Instead, it sits there doing nothing.
Are your agents getting better over time? Making fewer mistakes? You have no idea. There's no scoreboard, no report card, no way to measure progress.
Every improvement depends on you noticing a problem, figuring out the fix, and manually updating agent instructions. That's a full-time job on top of your actual job.
When you add a new agent to your team, it doesn't know any of the lessons your other agents learned. It has to make all the same mistakes — and you have to correct them all over again.
Agent Trainer works like a training manager for your AI team. When you step away — for lunch, for the night, for the weekend — it reviews everyone's recent work, identifies what went wrong, writes better instructions, and shares lessons across the entire team.
Every correction you've ever made gets baked into your agents' instructions permanently. Every lesson one agent learns gets shared with the whole team. Your AI doesn't just avoid repeating mistakes — it actively gets better at its job.
"Your AI team should be better on Friday than it was on Monday. Not because you spent your week training it — but because it trained itself while you were running your business."
— The idea behind Agent Trainer
Your main agent learned that browser tasks should always be handed to a specialist. Agent Trainer writes that rule into every agent's instructions — so the whole team knows, not just the one who learned it.
A dispatch agent accidentally sent pricing information to a crew chat. Agent Trainer adds a content-checking rule to every agent that sends messages — check what you're sending and who you're sending it to.
An accounting agent formatted a report wrong. You corrected it once. Agent Trainer updates that agent's templates based on your correction — so the format is right every time from now on.
When you haven't sent a message for 30 minutes, Agent Trainer starts a training session. It uses downtime that would otherwise be wasted.
Reads through the last 24-48 hours of activity. What did each agent do? What went right? What went wrong? What did you have to correct?
Groups mistakes by type and by agent. Is one agent making the same mistake twice? Are multiple agents making similar mistakes? Those are training gaps.
Updates each agent's rules with specific "don't do this" and "do this instead" examples — drawn from real mistakes and real successes, not theory.
When one agent learns something useful, that lesson gets written into every agent that could benefit. One fix, team-wide improvement.
Creates a plain-English training report: who was reviewed, what was found, what was changed, and whether your team is getting better. No technical jargon.
Runs during quiet periods without any input from you. At minimum once a day, more often during extended quiet time. Your team trains while you sleep.
Every agent gets scored on error rate, how often you had to correct it, and task completion quality. Tracked over time so you can see improvement.
When one agent learns from a mistake, that lesson gets written into every relevant agent's instructions. One correction benefits the whole team.
After every training session, you get a clear report: who was reviewed, what was found, what was changed. Written for business owners, not developers.
See whether each agent is getting better over time. Error rates, correction frequency, task quality — all tracked and compared to previous weeks.
If an agent makes multiple mistakes in a short period, Agent Trainer runs an immediate training session — doesn't wait for quiet time. Problems get fixed fast.
Agent Trainer adds new rules and examples. It never deletes existing instructions. Your agents' core mission and personality always stay intact.
Want to see what Agent Trainer would change before it changes anything? Dry-run mode shows you the plan without touching a single file.
Your core identity files — the ones that define who your AI is and who you are — are completely off-limits. Agent Trainer never touches them.
Every agent comes with full system snapshot before any changes and one-click restore if needed. Free with every purchase.
Agent Trainer turns your AI's downtime into improvement time. Every quiet period makes your whole team smarter. One-time purchase. Yours forever.
Coming Soon — Reserve Your Spot14-day money-back guarantee. No questions asked.
Includes free Backup & Restore module · macOS compatible · Requires OpenClaw