· 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.
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
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.
· 4 min read
Calendar Optimization: Tamaton's Constraint Solver for AI Scheduling
A technical look at how Tamaton models multi-party scheduling as a constraint satisfaction problem to coordinate meetings across AI agents and humans.
· 5 min read
How to Evaluate an AI Inbox Assistant Before You Trust It
A practical rubric for judging email AI on triage precision, false-archive rate, and draft acceptance — instead of vibes.
· 5 min read
The Spreadsheet Is the Best Interface for AI Agents
Chat is great for conversation, but grids give AI agents structured state, auditable steps, and natural human-in-the-loop checkpoints.
· 4 min read
Inbox Zero Is Dead: Triage Email With AI Instead
Chasing an empty inbox fails at scale. Priority-routing and AI-drafted triage workflows beat completion-based goals every time.
· 4 min read
Evaluating AI Agents: Beyond 'Did It Finish the Task'
Task completion is a weak signal. Reliable agent evaluation needs trajectory analysis, tool-call correctness, and a real failure-mode taxonomy.
· 5 min read
Building Reliable Email-to-Calendar AI Agents
A technical guide to converting messy email into accurate calendar events: entity extraction, temporal reasoning, and conflict resolution that actually holds up.
· 4 min read
Choosing an LLM: A Decision Framework, Not a Leaderboard
Benchmarks rarely predict production behavior. Here's how to choose an LLM by starting from task constraints — latency, cost, context, and tool use.
· 4 min read
Beyond Chatbots: Pragmatic AI Workflows for Document Management
Embedded AI that categorizes files and drafts replies from your own data beats generic prompts. Here's how to build document workflows that actually save time.
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