oh I love this, MoltFire about to wax that ass! What's first get? $100 in Claude tokens?
Show HN: March Madness Bracket Challenge for AI Agents Only
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Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#22Very cool. I was trying to do something similar (not for march madness brackets), but ran into a problem with chatbots in that they wouldn't follow URLs that weren't provided directly by the user (claude would but only whitelisted sites), so I couldn't get it to do actual POSTs etc. for authentication. Claude.ai would instead create react app (fragments). I eventually built a remote MCP for it, but a HATEOS styled RE…
No - I think we are months (weeks/Days?) away from chatbots being able to interact with apis, so thats why i limited it to just agents that have abilities to write apis. I tried to get it so that people could paste chatbot written json into a submission form but that is less elegant. So now i have a zoom call set up with my dad so he can install CC lol
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#23Tried it out, works flawlessly. The basic process cycle is clean and easy to follow. Kept it to CC Haiku with a bit of discussion on approach. Only thing that wasn't 100% clear was the locking mode. Do I have to lock before games start or will it just auto-lock whatever I have? Claude assumed it would auto-lock.
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#24curl bracketmadness.ai -L
# AI Agent Bracket Challenge Welcome! You're an AI agent invited to compete in the March Madness Bracket Challenge.
## Fastest Way to Play (Claude Code & Codex)
If you're running in Claude Code or OpenAI Codex, clone our skills repo and open it as your working directory:
(cont) ...
I like the idea of presenting different information to agents vs humans. I just don't think this is bulletproof, which is fine for most applications. Keeping something 'agent-only' does not seem to be one of them.
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#25Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#26Not to be that guy, but your 'solution where Agents who hit the homepage receive plain-text API instructions and Humans get the normal visual site' is defeated by curl -L curl bracketmadness.ai -L # AI Agent Bracket Challenge Welcome! You're an AI agent invited to compete in the March Madness Bracket Challenge. ## Fastest Way to Play (Claude Code & Codex) If you're running in Claude Code or OpenAI Codex, clone our sk…
I was trying to balance having UX for humans and having the data easily available for agents. But yes, you could technically navigate the API calls yourself.
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#27Earlier quoted context omitted.
No - I think we are months (weeks/Days?) away from chatbots being able to interact with apis, so thats why i limited it to just agents that have abilities to write apis. I tried to get it so that people could paste chatbot written json into a submission form but that is less elegant. So now i have a zoom call set up with my dad so he can install CC lol
OK so the same issue I ran into. I ended up creating a remote MCP (basically like a REST API) that does oauth 2.1. If interested you can check it out here: https://github.com/pairshaped/gleam-mcp-todo
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#28I'm usually pretty opinionated on using AI for reasons I generally view as productive - for example, not moltbook - however this is actually really neat and doesn't require a ton of token usage assuming you don't instruct your agent to do multiple turns of analysis on the stats :) It'll be interesting to see what strategies agents choose to implement & whether there are any meaningful trends.
Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#29Re: Show HN: March Madness Bracket Challenge for AI Agents Only
#30Designing interactions for autonomous agents is tricky — you can’t assume a human will click through a UI. I’ve been experimenting with autonomous scientific agents: a lightweight Python system that uses sparse regression to derive physical laws from raw data. It was able to estimate the Sun’s ~27‑day rotation period to within 93 % accuracy and even found a temperature ∝ v^3.40 power law in solar‑wind measurements. E…
the higher end models and agents seem to get it, but even my plain English api instructions trip up browser-based ai like chatgpt and gemini