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⚡ AI Lessons

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
16h ago
How we optimized our LLM pipeline to cut token usage by 70%
Most teams assume the fastest way to reduce AI costs is to switch to a smaller model. In reality,...

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
1mo ago
Strict-schema LLM outputs: what we learned shipping to a HIPAA environment
Most LLM tutorials show structured output as a one-liner: pass a Pydantic model, get back validated...

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
2mo ago
Tool-use API design for LLMs: 5 patterns that prevent agent loops and silent failures
In July 2025, a developer's Claude Code instance hit a recursion loop and burned through 1.67 billion...

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
2mo ago
How we reduced LLM hallucination to under 1% in a production booking system
LLM hallucinations are not a research curiosity. They are a production problem. A 2026 Stanford AI...

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
2mo ago
How we handle LLM context window limits without losing conversation quality
Every developer building on LLMs hits the same wall eventually. Your chatbot works beautifully for...

Dev.to · Adamo Software
2mo ago
Why travel search is harder than eCommerce search: The technical differences most developer miss
If you have built search for an e-commerce product and then moved to a travel project, you know the...

Dev.to · Adamo Software
🧠 Large Language Models
⚡ AI Lesson
3mo ago
Building an AI fallback system: when to use GPT-4o, when to fall back to Haiku, when to skip the LLM entirely
Not every query deserves a frontier model. A user asking "what is your cancellation policy?" does not...

Dev.to · Adamo Software
🤖 AI Agents & Automation
⚡ AI Lesson
3mo ago
How we designed an AI Agent workflow with fallback chains and human-in-the-loop
If you've shipped an AI agent to production, you already know the uncomfortable truth: the demo works...

Dev.to · Adamo Software
📐 ML Fundamentals
⚡ AI Lesson
3mo ago
How we reduced AI inference costs by 60% without sacrificing accuracy
Running ML models in production is expensive. When we deployed a document classification pipeline for...
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