OrbitBRAIN started as a filing cabinet with good search, and I slowly stopped trusting what it showed me. So I gave it a feedback loop: every night it files new memories, rewrites each project’s brief, and reports its own gaps. This is how it works, and who actually built it.
I built a kanban with autonomous AI agents on AWS as a learning project. Here’s what ‘autonomous’ actually meant, what broke, and how I keep it under $5/month.
Operating at Level 5 AI autonomy without guardrails is how you lose a production database. Here’s what I put in place to prevent that.
How I’ve been experimenting with Amazon Q custom agents to streamline my solo AWS consulting workflow.
I’ve been working on a proof of concept (POC) using Amazon Q for business for several weeks. These are my preliminary thoughts and some challenges I encountered while creating our first Generative AI assistant.
First, let me set the context for the POC. This work was not for a customer. It was to familiarize myself with the service and to get a sense of what we could do in future. I purposely kept it as simple as I could. I was more interested in getting something to work than trying all the bells and whistles.
Send a paragraph about what you're trying to do on AWS. I'll come back with how I'd approach it, or a pointer to someone better suited.
