AI Tool Pipelines

How to Debug AI Agent Tool-Routing Decisions?

When an AI agent calls the wrong tool, the fix is rarely a bigger model. Log the full decision (system prompt, tool schemas, raw output), reproduce at temperature 0 to rule out randomness, then check whether two tool descriptions are actually distinguishable, since that is where most misrouting comes from.

How to Fix 429 Rate Limit Errors in AI API Pipelines?

A 429 error is really one of three separate limits: requests per minute, tokens per minute, or concurrent requests. Read the rate-limit response headers to find out which one you tripped, then fix it with a concurrency-capped queue or batching, not just a bigger retry count.

How to Add Human-in-the-Loop Approval to an AI Automation Workflow?

Pause the workflow, send the AI output to a person with approve and reject buttons, and resume only on approval. Working n8n Wait-node pattern, a Slack gate, and where to put the gate so people do not rubber-stamp.

How to Route Support Tickets Automatically Using AI Decisions?

Classify each ticket on two axes, topic and urgency, then route on both. Working classification prompt, an n8n routing snippet, and why a churn-risk ticket once sat unanswered for two days.

How to Build an Automated Monthly Reporting Workflow with AI?

Build a monthly report that writes itself: schedule, pull data, compute the numbers in code, then let the model write prose around locked figures. The one rule that keeps the AI from inventing your metrics.