Pre-launch · Plain-English agent fixes

When your AI agent breaks, get a plain-English fix.

Doctor Debug watches your no-code AI agents, catches failures, and tells you exactly what went wrong — no logs, no guesswork, no developer translation needed.

Built for marketers, operators, consultants, and teams running AI agents without engineers.

Works withLindyRelayn8nMakeZapier

Broken agents should not require an engineer to understand.

No-code AI tools make it easy to build powerful workflows. But when something fails, the error messages still sound like they were written for developers. Doctor Debug turns those confusing failures into clear next steps.

Why did it stop?

Your agent fails halfway through, but the error does not explain what actually happened.

What do I change?

You know something broke, but not whether it was a connection, a missing field, a bad prompt, or a tool issue.

Who do I ask?

You end up waiting on a technical teammate or support thread just to get unstuck.

From cryptic error to clear fix.

What you see today

HTTP 401 Unauthorized
Invalid token. Request failed at Step 4.

Helpful if you are an engineer. Not helpful if you just need your agent working again.

What Doctor Debug tells you

Your Google Sheets connection expired.

How to fix it:

  1. 1Open your automation tool.
  2. 2Reconnect Google Sheets.
  3. 3Re-run the agent from Step 4.

Clear enough to act on without opening a support ticket.

How Doctor Debug works

1

Connect your agent

Doctor Debug watches your agent runs from tools like Lindy, Relay, n8n, Make, or Zapier.

2

It spots the failure

When something breaks, Doctor Debug looks at where it failed and what changed before the failure.

3

You get the fix path

Instead of a confusing error, you get a plain-English explanation and the next steps to try.

Built for people who own the workflow, not the code.

Marketing teams

Fix lead routing, content workflows, CRM updates, and campaign automations faster.

Operations teams

Understand why handoffs, approvals, or internal processes stopped.

Consultants

Support client automations without translating technical errors by hand.

Agency owners

Reduce “why did this break?” messages from clients and teammates.

Early users we want to learn from

We are looking for no-code AI agent builders, automation consultants, and operations teams who regularly hit confusing failures.

Exactly the kind of thing I need when a client automation breaks and I do not want to dig through logs.
Automation consultant
Our team can build agents, but troubleshooting them is where we get stuck.
Marketing operations lead
This would save us from asking engineering every time a workflow fails.
Growth team operator

Be first to try Doctor Debug.

Join the waitlist and help shape the plain-English repair layer for no-code AI agents.

Doctor Debug — plain-English fixes for broken AI agents.