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Blog
Notes sur le déploiement d'IA en production dans le B2B SaaS — ce qui fonctionne, ce qui ne fonctionne pas, et pourquoi.
#llm#agents#cost-optimization#prompt-engineering
Why Your AI Agent Costs 7x What It ShouldMost AI agents re-process the same tokens on every loop iteration. A small layout change to your prompt can cut your input bill by 80%.
Serhii Panchyshyn
#ai#rag#production#evaluation
No Evals, No Idea. How 40% of RAG Answers Go Wrong.Most RAG failures aren't LLM failures. They're retrieval failures. Here's how to measure Recall@k, add hybrid search, and go from 60% to 80% accuracy.
Serhii Panchyshyn
#ai#agents#architecture#production
Your Agent Isn't Broken Because of the Prompt. It's Broken Because of What the Model Can See.Teams spend weeks rewriting system prompts. Then they rename a few functions and accuracy jumps 30%. 10 patterns that fix agent quality at the architecture level.
Serhii Panchyshyn
#ai#agents#llm#production
Things You're Overengineering in Your AI Agent (The LLM Already Handles Them)Teams overengineer routing, memory, guardrails, and error handling. The LLM already handles most of it. Stop building what you don't need.
Serhii Panchyshyn
#ai#strategy#leadership#production
The One Mindset Shift That Separates People Who Use AI From People Who Get Left BehindMost people accept friction in their lives without questioning it. The ones thriving in the AI era don't have better tools. They have better questions.
Serhii Panchyshyn