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Building AI agents that actually do things — not just chat. Lately I’ve been deep in the Model Context Protocol (MCP), connecting LLMs like Claude to real APIs and data: a multi-agent system that researches stock trades, an MCP server that lets AI query a live trading account, and an agent pipeline that turns a plain-English idea into a playable game. Also exploring speech AI, real-time captioning + translation with Hugging Face models.
Always up for a conversation about agentic systems, MCP, or applied AI. 🤖
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Bloop, a Framer template for AI agent startups. I had a lot of fun animating it and creating its playful mascot.
This is fire! The playful mascot makes AI agents feel so approachable. Framer template for AI startups is such a hot niche right now - great execution!
Everyone is shipping AI agents right now. Almost no one is testing them — and that is the whole problem.
A demo agent and a production agent are different animals. The demo works because you walked it down the happy path. Production breaks on the paths you never imagined.
A real example from my own work: a support assistant correctly handed a conversation to a human when someone wrote "I want to talk to a person" in Spanish — but not in English, because one phrase was missing from a rule. Every automated test passed. It only surfaced when I ran real conversations through it.
That is the gap the "agents will replace everything" wave keeps skipping. The hard part was never making an agent act. It is making it:
• say "I don't know" instead of guessing,
• hand control back to a human at the right moment,
• and prove, with tests, that it still behaves when the input gets strange.
Autonomy is cheap. Trustworthy autonomy is the real engineering.
Before you let an AI agent near real users or real data — what is the first thing you check?
The Spanish vs English handoff bug is such a good example. Every test passes until a real user shows up.
40+ days of reverse engineering a game. At this point, I'm not sure what's harder to deal with: the engine or the AI.
I'm working on an accessibility mod for Resonance: A Plague Tale Legacy. The idea is to give visually impaired players something similar to the navigation assistance in The Last of Us Part II.
I thought it would be difficult. I didn't think I'd still be fighting the navigation system over 40 days later.
The game has no source code available, so pretty much everything has to be figured out through reverse engineering. I've managed to reconstruct the story progression and objectives across the game, which was already a ridiculous amount of work.
But knowing where the player needs to go is one thing. Figuring out how to actually guide them there using whatever the engine has loaded at that moment is another nightmare entirely.
And working with AI makes the whole experience even more interesting. Not always in a good way.
I use AI extensively for coding. Without it, I probably wouldn't have attempted something like this in the first place. But the longer the project goes on, the more time I spend making sure it doesn't undo its own work.
We've had working systems replaced with broken ones, the same problems investigated over and over, and fixes that somehow bring back bugs from weeks ago. Sometimes I spend an entire day just trying to get back to where things were before the latest "improvement."
And the funniest part? The AI will confidently explain why its new approach is definitely the right one. Again.
I'm not giving up on the project, though. I've already put way too much into it, and I genuinely want this accessibility system to work.
If anything, this experience has taught me that AI can help you build some pretty incredible things. Just don't expect it to remember what the hell you're building.
40+ days reverse engineering so blind players can get through it is SERIOUS dedication. this is the stuff that matters