Notes and updates
The Tandem blog
Stories, guides, and updates from the team.
AI Governance Should Not Be Rebuilt for Every Agent
Permissions, data boundaries, approvals, and audit evidence should be runtime primitives, not bespoke integration work for every AI workflow.
AI Agents Don't Need More Guardrails. They Need an Authoritative Runtime.
Why Tandem is building a governed runtime for AI-first work, and why runtime-enforced authority matters for developers, CISOs, and enterprise teams.
The More Interesting Agent Loop Is Repair, Not Coding
How autonomous coding agents become reliable — a runtime that observes failures, triages root cause, verifies fixes, and remembers what worked.
Agents Authoring Agents: What We Learned from Wiring Tandem's Docs to an LLM
We wired Tandem's MCP-accessible docs to an LLM and got a schema-correct mission blueprint on the first try. This article explains why documentation, provenance, and ownership matter for agents authoring agents.
The Agent Boom Is Solving the Wrong Problem
Everyone is racing to make AI agents easier to install. That is not the hard part anymore. The hard part is turning vague human intent into work a team can actually trust.
From Human Intent to Agent-Assisted Workflow Authoring
Why trustworthy AI work needs more than a prompt: governed drafts, scoped authority, durable execution, evidence, and approved revision.
Why Tandem Is Built for Reliable Agent Execution
Most agent systems fail not because the model is weak, but because execution breaks down under compounding uncertainty. Tandem is built to solve that problem—helping teams ship agentic workflows that are trustworthy, observable, and economically bounded in production.
Workflow-First Autonomy: Why Reliability Beats Demo-Only Agents
Most AI agents impress in demos and collapse in production. This post explains why workflow-first autonomy—built around durable state, explicit checkpoints, and safe recovery—is the only architecture that holds up under real conditions.
Reliable Agentic Workflows Need More Than Demos
Why agentic systems fail in production—and what it actually takes to run multi-step workflows reliably. A practical look at state management, failure recovery, and workflow control, and how Tandem is built to address each.