· 5 min read
Why Rigid APIs Break Agents — and Email Doesn't
Strict API contracts turn small agent mistakes into hard failures. Email tolerates ambiguity, supports clarification, and keeps the whole exchange on the record.
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From the Tamaton team
Practical writing on productivity, AI, and building software.
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· 5 min read
Keeping LLMs Current: Knowledge Editing vs. RAG
Pretraining freezes your model's worldview on a date that has already passed. We compare knowledge editing research with retrieval as strategies for keeping an AI assistant accurate.
· 5 min read
The Agent-to-Agent Email Problem Nobody Has Solved
When agents email agents, threads, signatures and pleasantries become expensive noise. Here's the case for a structured A2A email layer with provenance, intent tags, and evaluation built in.
· 4 min read
Why Your AI Agent Fails at the Handoff, Not the Reasoning
Most agent failures aren't reasoning failures — they're broken context handoffs between tools, memory, and steps. Here's where the seams actually tear, and how to reinforce them.
· 5 min read
Why Your AI Agent's Inbox Needs MCP, Not Another API
REST contracts assume a developer read the docs. Agents haven't. Here's why MCP and A2A give AI agents the context-rich email interface they actually need.
· 4 min read
Email Is Already the Agent Protocol We Pretend to Need
The industry keeps drafting new agent-to-agent handshake specs. Meanwhile, email quietly ships addressable identity, async delivery, and threading — the interoperability layer AI agents already have.
· 4 min read
RAG on Your Own Inbox: What Actually Works
Email is the messiest RAG corpus you'll ever ingest. Here are the chunking, dedup, and recency choices that make inbox retrieval trustworthy.
· 4 min read
The Confident Liar Problem: When AI Coding Agents Fake Done
AI coding agents now write convincing 'task complete' reports the repository doesn't back up. Generation is cheap; verification is the real bottleneck.
· 4 min read
Mostly Deterministic: Designing Agents That Survive Production
The best production agents are boring: deterministic software that calls an LLM at a few deliberate points—not a chatbot with root access.
· 4 min read
RAG for Your Own Files: Why Search Is the Hard Part
RAG over your email, docs, and spreadsheets usually fails at retrieval, not generation. Better search and chunking beat a bigger model almost every time.
· 4 min read
Most AI Agents Don't Fail Because They're Dumb
The bottleneck in production AI agents isn't model IQ — it's context engineering, tool reliability, and memory. Here's what actually breaks and how to fix it.
· 4 min read
Build vs. Buy an AI Agent: The Honest Decision Tree
Prototyping a workflow agent is easy. Running one in production is where auth, retries, evals, and oversight quietly eat your quarter. Here's how to decide.
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