· 4 min read
Why Your Inbox Is the Best RAG Corpus You Already Own
Email threads encode decisions, commitments, and relationships better than any wiki — making your inbox the highest-signal grounding source for an AI assistant.
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
How to Evaluate an AI Agent That Touches Your Inbox
Benchmark scores won't tell you if an email agent is safe to trust. Here's a practical eval harness built on task completion and harm metrics.
· 4 min read
Evaluating AI Agents on Multi-Step Office Tasks
Single-turn benchmarks miss what matters. Here's a practical eval harness for agents that move data across email, docs, sheets, and calendar.
· 4 min read
The Hidden Cost of Context Windows in Agent Workflows
A quantitative look at how context window limits quietly degrade agent performance on email threading and document synthesis—and what to do about it.
· 5 min read
How to Evaluate an AI Inbox Assistant Before You Trust It
A concrete eval rubric for email AI — measuring intent precision, action safety, and hallucinated commitments — plus test cases you can run today.
· 5 min read
The Quiet Shift to Smaller, Specialized Models in 2025
Frontier models aren't always the answer. For inbox and search work, routing to small fine-tuned models is quietly becoming the default architecture.
· 4 min read
How to Evaluate an AI Agent Before You Trust It With Your Inbox
A concrete eval methodology for action-taking agents: measure task success, failure recovery, and over-action risk before you hand over the keys.
· 4 min read
The Inbox Is the Best Agent Interface We Already Have
Email's threads, recipients, and async replies aren't legacy baggage — they're a proven control surface for AI agents. Here's why the inbox is great agent interface design.
· 4 min read
Building a Custom Inbox Triage Agent in Tamaton
A step-by-step guide to building a custom email agent that reads, labels, drafts replies, and schedules follow-ups using Tamaton's unified context.
· 4 min read
Email Triage at Scale: Building Stateful Classification Systems
An architecture guide for AI systems that classify email by learning from patterns over time, rather than judging each message in isolation.
· 4 min read
The Inbox Is a Database: Rethinking Email for Agents
Stop treating email as a message stream to triage. For agents, the inbox is queryable state — structured, indexed, and ready to act on.
· 4 min read
Email Triage With LLMs: Classification Beats Generation
The highest-ROI AI in your inbox isn't drafting replies — it's routing, prioritizing, and summarizing. Here's the architecture to build it.
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