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Every service that depends on another service will one day see it fail. In this part the Lead Qualifier learns to fail well. Every problem with Claude becomes a clear HTTP response the caller can act on, slow requests stop at a timeout, and every lead writes one log line with its cost. That line says nothing about the customer.
Claude now reports the facts about every inquiry. In this part your own code turns those facts into a decision: a lead score from 0 to 100, a priority, and the reason behind every single point. The rules fit on one screen, a salesperson can read them, and a tricky sender cannot talk their way to the top of the list.
This is the part where the Lead Qualifier starts thinking. You write the instructions Claude follows, send each inquiry to Claude with the official Python SDK, and get back a validated LeadAnalysis every time. By the end, a real sales inquiry goes in through your API and comes back as clean, structured JSON in about five seconds.
Before you ask Claude to qualify a lead, decide exactly what a qualified lead looks like. In this part you design that shape as Pydantic models. Claude will be forced to follow it, your code will rely on it and your CRM will receive it. Then you lock it in with tests that run in under a second and never cost a cent.
Before the agent can read a single inquiry, it needs a proper home. In this part you build the project the way production teams do: one command creates it, every package version is locked, your Claude API key is loaded safely from a file Git never sees, and a running FastAPI app answers its first request.
Most businesses still sort their incoming inquiries by hand. Someone reads every contact-form message and email, decides who is a real buyer, and types a reply. This series builds an AI agent that does the first pass in a few seconds: it reads an inquiry, pulls out the key details, scores it, drafts a reply, and hands everything back as clean JSON a CRM can use.
Build a Command-Line Text Analyzer in Python that reads a text file, counts lines or words, displays frequent words, detect long lines.
