· 5 min read
The Audit Trail Problem: Email as Agent Accountability
Enterprises can't deploy agents they can't review. Email threads already give every agent action a timestamped, human-readable, forwardable paper trail.
Blog
From the Tamaton team
Practical writing on productivity, AI, and building software.
All#ai#ai-agents#ai-productivity#applied-ai#automation#calendar#context-switching#deep-work#documents#email#engineering#engineering-leadership#invisible-ai#knowledge-work#llm-evaluation#product-updates#productivity#prompt-engineering#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 5 min read
Grounding Is the New Prompting: How to Stop Agents Guessing
Clever prompts don't make agents accurate — verified, fresh sources do. Here are the grounding architecture patterns that keep AI agents honest.
· 5 min read
Small Models, Big Inbox: When Not to Reach for a Frontier LLM
For classifying, routing, and summarizing email, a small fast model usually beats a frontier one on cost and latency. Here's how to choose per task instead of per vendor.
· 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.
· 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.
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