· 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.
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#remote-work#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 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.
· 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
Every Agent Gets Its Own Identity: How Tamaton Scopes Access
Shared API keys give bots the run of your whole workspace. Tamaton issues each agent its own identity with per-layer, per-resource permissions instead.
· 4 min read
How Tamaton Grounds Answers Across Inbox, Docs, and Calendar
A concrete look at how a unified data layer lets AI cite the actual email or spreadsheet cell instead of paraphrasing from memory.
· 4 min read
How Tamaton Handles the Inbox an Agent Can't Stop Filling
When agents send and reply at machine speed, triage becomes a routing and evaluation problem. Here's how we approach ai email management built for bots, not just humans.
· 4 min read
Why Your RAG Pipeline Fails on the Inbox
Email and calendar data breaks most RAG setups because relevance is temporal and social, not just semantic. A bigger embedding model won't save you.
· 4 min read
How AI Agents Should Prove Who They Represent
Authentication tells us an agent is real. Delegation tells us who it's acting for — and that's the primitive we're missing. Here's how to build it.
· 5 min read
Custom Agents in Tamaton: Give an AI a Standing Order
Move past one-off prompts. Build a persistent Tamaton agent that watches your inbox, files, and calendar, then acts on a schedule with human checkpoints.
· 4 min read
Small Models, Big Inbox: Where 200M-Param MoE Actually Wins
A recent 200M-parameter hobbyist MoE is a great reminder: email triage, classification, and routing rarely need frontier models. Here's where small wins.
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