· 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.
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#remote-work#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 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.
· 4 min read
Search That Understands Your Files: Beyond Keyword Match
Why keyword search fails in modern workspaces, and how semantic search, metadata, and permission-aware retrieval combine to make file search actually usable.
· 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
RAG vs Long Context: When to Retrieve, When to Stuff
Skip the 'long context killed RAG' debate. Here's a practical decision framework based on cost, latency, recall, and freshness.
· 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.
· 4 min read
Evaluating LLMs for Spreadsheet Formula Generation
A practical framework for testing GPT-4, Claude, and open models on spreadsheet formula generation — plus what the accuracy numbers actually mean.
· 4 min read
Prompting for Spreadsheets: Getting Reliable Formulas From AI
Concrete prompting and verification techniques for coaxing correct, auditable formulas and clean data transforms from LLMs — and catching the silent errors.
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