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rwilinski

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Agentic Evals Pyramid

rwilinski.ai
1 points·by rwilinski·năm ngoái·0 comments

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

github.com
6 points·by rwilinski·2 năm trước·1 comments

Show HN: Claude and Apple Notes integration using MCP

github.com
1 points·by rwilinski·2 năm trước·0 comments

The Principles for Reliable, Safe and Fast AI Agents

rwilinski.ai
2 points·by rwilinski·2 năm trước·1 comments

Full-stack RAG app built on Cloudflare

github.com
36 points·by rwilinski·2 năm trước·1 comments

Generating structured data with LLMs – Beyond Basics

rwilinski.ai
3 points·by rwilinski·2 năm trước·0 comments

Benchmarking OpenAI's Structured Outputs

rwilinski.ai
2 points·by rwilinski·2 năm trước·0 comments

Show HN: Talk to Your AWS Cloud

chatwithcloud.ai
1 points·by rwilinski·3 năm trước·0 comments

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

github.com
252 points·by rwilinski·3 năm trước·100 comments

Show HN: CMD and K for AWS Console

cloudtempo.dev
1 points·by rwilinski·4 năm trước·0 comments

comments

rwilinski
·2 năm trước·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 năm trước·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