· 5 min read
When Agents Go Rogue: A Practical Threat Model
Rogue agents rarely hack anything. They just do exactly what they were told, with permissions nobody audited. Here's a concrete threat model and containment patterns.
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
How to Evaluate an AI Assistant Before You Trust Your Inbox
Stop judging AI assistants on vibes. Build a 50-item golden set from your own work and score them on retrieval, refusals, and cost per resolved task.
· 5 min read
Your Inbox Is a Retrieval Problem, Not a Sorting Problem
Folders and filters were a workaround for bad search. In an AI-native stack, your inbox is a messy index — and treating it that way changes triage, search, and follow-up.
· 5 min read
Bound the Blast Radius: Scoping Custom Agents in Tamaton
An agent with access to every email, doc, and file is a liability until you scope it. Here's how to define, test, and audit custom agent permissions in Tamaton.
· 5 min read
How Tamaton Evaluates Its Own Agents Before You Do
Inside the eval harness we run on inbox triage, doc drafting, and calendar scheduling — the golden sets, the scoring rubrics, and the failure modes we refuse to ship.
· 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.
· 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
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.
· 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
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.
· 5 min read
Why Rigid APIs Break Agents — and Email Doesn't
Strict API contracts turn small agent mistakes into hard failures. Email tolerates ambiguity, supports clarification, and keeps the whole exchange on the record.
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