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rwilinski

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Agentic Evals Pyramid

rwilinski.ai
1 points·by rwilinski·ปีที่แล้ว·0 comments

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

github.com
6 points·by rwilinski·2 ปีที่แล้ว·1 comments

Show HN: Claude and Apple Notes integration using MCP

github.com
1 points·by rwilinski·2 ปีที่แล้ว·0 comments

The Principles for Reliable, Safe and Fast AI Agents

rwilinski.ai
2 points·by rwilinski·2 ปีที่แล้ว·1 comments

Full-stack RAG app built on Cloudflare

github.com
36 points·by rwilinski·2 ปีที่แล้ว·1 comments

Generating structured data with LLMs – Beyond Basics

rwilinski.ai
3 points·by rwilinski·2 ปีที่แล้ว·0 comments

Benchmarking OpenAI's Structured Outputs

rwilinski.ai
2 points·by rwilinski·2 ปีที่แล้ว·0 comments

Show HN: Talk to Your AWS Cloud

chatwithcloud.ai
1 points·by rwilinski·3 ปีที่แล้ว·0 comments

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

github.com
252 points·by rwilinski·3 ปีที่แล้ว·100 comments

comments

rwilinski
·2 ปีที่แล้ว·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 ปีที่แล้ว·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