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Your AI agents get better every day.

Every morning you get what broke, why, and how to fix it. Most fixes take under 10 minutes.

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Works with

OpenClawDay 1LangGraphSoonCrewAISoonOpenAI AgentsSoonAny OTel agent

Every update breaks 2 things for every 1 fixed.

You wanted to ship side projects. Instead you're debugging prompt regressions at midnight. Your agent stopped working after an update and you don't know why.

You're spending evenings asking an LLM to debug another LLM. The fixes are usually simple. Finding them is the hard part.

The invisible cost

A model routing mistake silently costs $47/week. One config change brings it to $6/week. But you didn't know it was happening.

The debugging loop

Same 3–5 root causes, repeating across every agent you build. You fix one, break two, and spend 70% of your time on problems that could be caught automatically.

How it works

Install today. Get your first briefing tomorrow.

Step 1

Install the skill

One command. AdeptLoop hooks into your agent's telemetry and starts watching for the failures you'd spend all weekend finding yourself.

openclaw install @adeptloop/improve

Step 2

Get daily improvement briefings

Every morning, a briefing lands with what broke overnight and the exact fix. The hard part is already done.

Step 3

Apply fixes instantly

Hit "Apply" and the fix goes in. Tomorrow's briefing shows whether it worked. No more guessing if your change actually helped.

The briefing

Your daily briefing, right where you work

Finding what's wrong takes longer than fixing it. We handle that part overnight.

AdeptLoopAPP

9:00 AM

Daily improvement briefing, March 8, 2026

Yesterday's fix verified

"Model routing overuse": LLM cost $6.71/day → $0.86/day (-$40/week). Fix confirmed.

Agent health: 847 traces | 12 failures (1.4%) | $0.86 spent

vs yesterday: failures ↓ 3 | cost ↓ $5.85 (-87%)

Issue #1: Hallucination in product lookup8 occurrences

Confidence: 92% | Impact: High

Your agent returned incorrect pricing for 3 products.

Suggested fix:

- You are a helpful product assistant.

+ You are a helpful product assistant.

+ ALWAYS verify product details against the catalog

+ before quoting prices. Never guess pricing.

Apply FixPreviewDismiss

Issue #2: Wrong skill selected3 occurrences

Confidence: 78% | Impact: Medium

"weather" skill triggered for location queries that should use "local-search".

Apply FixPreviewDismiss

What we catch

The same failures keep breaking your agents

We see these same patterns across every setup. You'll probably recognize a few.

Can't find the right info

The answer is right there in the context. Your agent pulls the wrong document anyway. Or nothing at all.

Ignores your rules

You wrote clear rules in your system prompt. Your agent ignores half of them. You find out when a user complains.

Cost overruns

Skills looping silently, burning $20–30/month with zero output. Or the wrong model on simple tasks. $47/week that should be $6.

Formatting errors

Broken JSON, malformed responses, or output that doesn't match what downstream code expects. Silent breakage.

Plans

Start free. Keep what works.

14-day free trial on Pro and Team. Credit card required.

Stop debugging your framework. Start shipping your product.

Set up in under 5 minutes. First briefing tomorrow.

Start your free trial