Keyword search picks the right tool for an AI agent 21% of the time. The router we built picks it 88%...
Switchboard: building a tool router so your AI agent stops drowning in MCP tools
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My Self-Evolving AI Agent Kept Passing Its Own Tests. The Code Had Never Run
Post #1 covered the birth. Post #2 covered pruning. Post #3 covered cost awareness. Post #4 covered...
Model DNA, Analyzed: Verifying 'From-Scratch' LLM Claims with Architecture, Tokenizer, and CKA (PyTorch)
A technical deep-dive that cites and reproduces the Model DNA method in PyTorch - verifying 'trained from scratch' LLM claims via architecture config, tokenizer overlap, and Linear...
Designing MCP tools an agent won't misuse
Typed inputs stop malformed calls. They don't stop an agent from calling the wrong tool with a well-formed, wrong argument. Here's how to design an MCP tool surface — constrained e...