How I Built a Reliable LLM Pipeline for Ad Creative Evaluation (with Strict Pydantic Contracts)
Art directors routinely spend 20–40 minutes per creative just checking brand guidelines, mandatory elements, and forbidden techniques. I wanted to a…
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Your Data Structure Is Too Flexible
Python makes it easy to pass data around as dicts, nested JSON blobs, and “whatever the client sent”. That flexibility is useful when you own the sh…
Why I Don't Put Tenant-Specific Validation in My FastAPI Endpoints
Multi-tenant applications have a way of turning simple endpoints into surprisingly complicated pieces of code. At first, tenant-specific validation…
Seeking Validation: Data Validation in Python with Pydantic and Vonage Verify
This blog post provides an introduction to Pydantic, the popular data validation library for Python. It includes a demonstration of the value Pydant…
Building a Multi-Agent AI for Company LinkedIn Pages - Part 7: Building the Hook Agent
Our system can now classify a topic, conduct research, back it with examples, identify weak assumptions and unsupported claims, and structure everyt…
The Schema IS the Prompt: Rethinking AI-Native Software Design
Every few years, a new abstraction arrives that makes the previous one feel embarrassing in retrospect. Raw SQL gave way to ORMs. Callback hell gave…
From Pydantic Model to AI Agent in 10 Lines of Python
You've been doing this for a while now: response = client . chat . completions . create ( model = " gemini-2.0-flash " , messages = [{ " role " : "…
From Scans to Structured Data: Converting Medical Reports to JSON with Pydantic & LLMs
Have you ever looked at a stack of physical medical reports and wished you could just "Ctrl+F" your health history? 📑 We’ve all been there. Every ho…
The Dangerous Bugs Are the Ones That Don't Crash — Building Input Validation for My MCP Server
The Dangerous Bugs Are the Ones That Don't Crash: Building Input Validation for My MCP Server I was building an MCP server for an event platform tha…