· 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.
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
· 4 min read
Spreadsheets as Agent Workspaces: Beyond the Formula Bar
Why the humble spreadsheet is one of the best environments for AI agents to read, write, and verify data — and why grounded tabular reasoning beats free-text prompting.
· 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.
· 5 min read
How AI Agents Should Read Your Calendar
A practical guide to what AI scheduling agents actually need — timezone handling, conflict resolution, and intent inference — and where today's automations break.
· 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
How to Evaluate an LLM for Your Workflow (Not the Leaderboard)
Public benchmarks rarely predict real performance. Here's how to build a task-specific eval harness from your own emails, docs, and spreadsheets.
· 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.
· 5 min read
Evaluating LLM Output Without a Golden Dataset
Practical LLM evaluation methods for teams without labeled ground truth: LLM-as-a-judge, rubric scoring, and regression sets you can ship today.
· 4 min read
Prompt Caching Strategies for Multi-Agent Workflows
A practical guide to building prompt caching layers that cut latency and cost across complex multi-agent orchestrations.
· 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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