Everyone's building orchestration primitives for agents. The actual missing layer is a permissioned, agent-readable workspace where email, files, docs and calendar share one identity and one audit trail.
A build log for one real Tamaton custom agent that triages the inbox, checks the calendar and docs, drafts replies, and files attachments — plus the three failure modes we fixed.
A concrete look at building RAG over your own email, docs, and drive — and why retrieval quality, not model size, decides whether AI knowledge work is actually useful.
Most teams reach for fine-tuning when a decent retrieval pipeline and a tight prompt would have been cheaper, faster, and far easier to change tomorrow. Here's how to tell the difference.
Email is a timestamped, attributed archive of how your org actually decides things. Here's how to make it a retrieval corpus without leaking data or resurfacing stale threads.
Most RAG hallucinations aren't model failures — they're retrieval failures. Here's a breakdown of chunking, recency, and permission bugs, plus fixes you can defend in code review.
"Humans lead agent success" is a polite way of saying context engineering. Here's why a unified workspace beats a pile of disconnected tools as RAG substrate.
Email isn't a list of messages — it's an unindexed database you never designed. Here's how to query it in natural language without hallucinating your way into a bad reply.
Medical research on why some experts resist bad AI advice — and how to turn those findings into a practical framework for judging LLM reliability in your own work.
Email, calendar, and file storage are already chunked, timestamped, and permission-aware. Treating them as your retrieval corpus beats dumping documents into a vector database.
A concrete walkthrough of building a Tamaton agent that triages inbox, drafts replies with real context, and books follow-ups — with a human holding the approval button.
Long, harmless context isn't neutral. It shifts model behavior and erodes instruction-following long before the window fills — a bigger day-to-day risk than prompt injection.
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