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Cess Mbugua
Cess Mbugua

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Day 8 of 60 and this is me learning AI integration and automation in public

**Today I called the Claude API from Python for the very first time.

**

** What I Was Learning**

The exercise was built around a relatable scenario, an account manager who manually writes weekly performance summaries for 10 clients every Monday. Same structure every week. Only the numbers change.
The goal wasn't to ship a product. The goal was to learn how to connect Python to Claude API and move data through a structured pipeline from start to finish.


What the Exercise Taught Me

The full data pipeline looked like this:

clients.csv → read_client_data() → list of dictionaries
↓
for loop picks up first client
↓
build_prompt() constructs personalised prompt
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generate_report() calls Claude API → returns report text
↓
save_report() writes to disk → returns filepath
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loop moves to next client
↓
summary printed + results logged to JSON
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Three things I will carry into every project from here:

  1. `Path(file).parent': how to make scripts work regardless of where they are run from
  2. client.messages.create(): the exact pattern for calling Claude API in Python
  3. The function-per-job pattern: organising a script into small single purpose functions connected by main().

Why This Feels Like a Milestone

Every workflow I've built in the first 3 days used n8n to handle the Claude API connection visually. Today I learned how to do that same thing in raw Python. No drag and drop. No visual nodes. Just code.

That's a different kind of understanding. And it opens up a completely different level of what I can build next.


Still learning. Still building. One day at a time.

52 more to go.

python #claudeapi #learninpublic #buildinpublic #automation #100DaysOfCode

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