· 5 min read
AI Agents Are a New Identity Class. Treat Them Like One
Every agent touching your inbox, files, and calendar is a non-human user with credentials and blast radius. Most orgs provision them like scripts and hope for the best.
Blog
From the Tamaton team
Practical writing on productivity, AI, and building software.
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· 4 min read
Why Your Agent Forgets: A Practical Guide to Agent Memory
Memory, not model size, decides whether an agent finishes a task or loops forever. Here's how planning, working memory, and retrieval actually fit together.
· 5 min read
Your Inbox Is the Best RAG Corpus You'll Ever Have
Mailboxes, files, and calendars are structured, timestamped, and permissioned — which is why naive vector search fails on them. Here's a retrieval design that works.
· 5 min read
Why Time-Series LLMs Hallucinate Forecasts (And When Not to Trust Them)
A practitioner's guide to when LLM-based forecasting earns its keep and when it's confidently extending a trend line into thin air.
· 5 min read
How Tamaton's AI Reads Your Inbox So You Don't Have To
A concrete walkthrough of Tamaton's inbox triage agent: how 84 unread messages become a ranked queue with searches run, drafts written, and calendar holds already placed.
· 4 min read
Aggregate Scores Lie: What EduFairBench Teaches AI Evaluation
Averaged benchmark scores hide the subgroup failures that break real workflows. Here's how to build disaggregated, reproducible evals for triage, summaries, and spreadsheets.
· 5 min read
One Model to Rule Them All Is a Myth: Routing for Real Work
Chasing the single 'best' LLM is a losing game. Here's a practical framework for routing each task — code, extraction, drafting, reasoning — to the model that actually fits.
· 5 min read
From Chatbots to Reasoning to Agents: What Changed in 2025
Reasoning models solved 'can it answer.' Agentic training moved the hard part to 'can it act reliably' — and that shift changes how everyday work gets done.
· 5 min read
When Your Agent Says "I Might Be Wrong": Honest AI Triage
Confident guessing is the most expensive failure mode in AI workflows. Here's how surfaced confidence and cited sources turn inbox triage and search into something you can actually trust.
· 5 min read
The Audit Trail Problem: Email as Agent Accountability
Enterprises can't deploy agents they can't review. Email threads already give every agent action a timestamped, human-readable, forwardable paper trail.
· 5 min read
Grounding Is the New Prompting: How to Stop Agents Guessing
Clever prompts don't make agents accurate — verified, fresh sources do. Here are the grounding architecture patterns that keep AI agents honest.
· 5 min read
Small Models, Big Inbox: When Not to Reach for a Frontier LLM
For classifying, routing, and summarizing email, a small fast model usually beats a frontier one on cost and latency. Here's how to choose per task instead of per vendor.
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