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rwilinski

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Agentic Evals Pyramid

rwilinski.ai
1 points·by rwilinski·geçen yıl·0 comments

Show HN: AWS MCP – Talk with Your AWS from Claude Using Model Context Protocol

github.com
6 points·by rwilinski·2 yıl önce·1 comments

Show HN: Claude and Apple Notes integration using MCP

github.com
1 points·by rwilinski·2 yıl önce·0 comments

The Principles for Reliable, Safe and Fast AI Agents

rwilinski.ai
2 points·by rwilinski·2 yıl önce·1 comments

Full-stack RAG app built on Cloudflare

github.com
36 points·by rwilinski·2 yıl önce·1 comments

Generating structured data with LLMs – Beyond Basics

rwilinski.ai
3 points·by rwilinski·2 yıl önce·0 comments

Benchmarking OpenAI's Structured Outputs

rwilinski.ai
2 points·by rwilinski·2 yıl önce·0 comments

Show HN: Talk to Your AWS Cloud

chatwithcloud.ai
1 points·by rwilinski·3 yıl önce·0 comments

Personal Concierge Using OpenAI's ChatGPT via Telegram and Voice Messages

github.com
252 points·by rwilinski·3 yıl önce·100 comments

comments

rwilinski
·2 yıl önce·discuss
Building AI agents is hard. Most attempts end up with brittle systems that break in production, cost too much to run, or worse - make costly mistakes that could have been prevented.

Fortunately, there are several core principles that I’ve learned while building agents that actually work. Hope you find it useful!
rwilinski
·3 yıl önce·discuss
I made Dynobase [1], an alternative GUI for DynamoDB. Passed 2k/mo few years ago. Runs 100% automatically now, I spend ~2h/week mostly responding to customer inquiries. I could leave my full time job but I just like it (and money) too much.

[1] https://dynobase.dev