Product

15 posts

Build AI Agents That Actually Finish the Job: Why Durable Execution Matters?

Durable execution means your AI agent retries from the failed step, not from scratch. Here's why checkpointing is the difference between a demo and production.

July 19, 2026
Agent Skills: How to Build and Reuse AI Agent Capabilities Without Starting From Scratch Each Time

Build AI agent skills once, reuse across agents. Practical guide to creating and managing reusable agent capabilities.

July 15, 2026
The AI Agent Review Step: What Decisions Should an Agent Make Alone vs. Require Human Approval

Not every agent action needs human approval — but some must. Here's a practical framework for configuring review gates in AI agent workflows.

July 10, 2026
What AI Agent Security Looks Like When Identity and Audit Trails Are Non-Negotiable

Most AI agents run without identity or audit trails. Here's what proper AI agent security looks like when both are non-negotiable.

July 9, 2026
AI Agent Framework vs. Platform: What You Actually Need to Ship Agents That Work

AI agent framework vs platform: what each forces you to build yourself, when to choose which, and how the four-layer stack decision actually works for shipping agents.

July 5, 2026
The Real AI Agent Stack for Product Teams: Memory, Tools, MCP, and Durable Execution

The four-layer AI agent stack every product team needs: memory, tools/MCP, durable execution, and control. What to build vs what to buy in 2026.

July 4, 2026
Build AI Agents That Don't Break: 8 Production Failure Modes and How Each Platform Handles Them

88% of AI agent pilots never reach production. The 8 failure modes that break agents in production and what a production-grade platform must do about each one.

June 26, 2026
The 7-Day Production Rollout: From First Agent to Unattended Run (Without the Production Cliff)

Deploy AI agents to unattended production in 7 working days. A day-by-day rollout plan with identity, memory, audit, durable execution, and a final audit gate.

June 19, 2026
Every AI Agent Needs an Owner: The Operating Model for Accountable Automation

An owned AI agent has five things: identity, scope, review, audit trail, escalation. Here is the operating model that makes them accountable, with a 30-minute audit and the named-human questions every team should answer.

June 3, 2026