
Your agent has a half-life
Why AI agents keep failing on long multi-step jobs: a 95% reliable agent finishes 48 steps 8.5% of the time. The fix is a resumable run, not a better model.
- ai-agent
- reliability
- workflow-automation
- product

Why AI agents keep failing on long multi-step jobs: a 95% reliable agent finishes 48 steps 8.5% of the time. The fix is a resumable run, not a better model.

A vendor-agnostic evaluation checklist for AI agent platforms: pilot-failure data, six evaluation criteria, governance pressure, and a scorecard you can reuse.


Zapier runs a fixed trigger-action recipe. See how an AI agent plans its own steps instead, with a side-by-side of the same recurring workflow built both ways.

AI agent vs virtual assistant: compare monthly cost, availability, and inspectable work records before you replace suitable VA tasks with a supervised AI employee.

Give an AI agent persistent memory with provenance, corrections, temporal context, and controls to inspect, update, forget, or restore what it knows.

Meet the AI employee that researches, operates tools, creates files, and runs recurring work from a persistent, supervised workspace.

Create reusable linear AI workflows, run them on demand, or schedule recurring work across files, live browser runs, native email, and connected business apps.

Learn what an AI employee is, how it differs from a chatbot, and how Construct completes work across email, Slack, browser, and connected apps.