
The Agent Herd Problem: When 1,000 AI Agents Agree
Multi-agent systems don't fail loudly — they agree quietly and confidently. Here's why agentic workflows drift into false consensus, and how to design dissent back in.

Multi-agent systems don't fail loudly — they agree quietly and confidently. Here's why agentic workflows drift into false consensus, and how to design dissent back in.

The real attack surface for AI agents isn't a clever chat jailbreak — it's the forwarded email, shared sheet, or PDF your agent reads with your permissions.

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.

Coding demos are graded by a test suite. Email is graded by your boss, your customer, and your calendar. Here's why the inbox is the hardest honest test of an AI agent.

AI agents aren't human users or dumb service accounts — they're a third identity class. Here's how to issue agent credentials and scope permissions before your inbox pays for it.

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.

Email was built for eyeballs, so agents waste context untangling HTML soup and quoted replies. Here's what an inbox designed for machines looks like — and why the human UI should be just one renderer.

Stop writing clever prompts and start writing employment contracts. A concrete walkthrough of scoping a Tamaton custom agent with permissions, escalation thresholds, and an audit trail.

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.

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.

New research shows conversational guardrails can be identified through probing. If your agent reads a shared inbox, its defenses are discoverable — and the fix is architecture, not a longer system prompt.
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