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
Construct insights and guides
Practical writing from Construct on AI agents, workflows, memory, and tools that get work done.
Latest
All our Agents get computers, we pay for almost none
Construct is an AI employee with a real Linux computer per user. Don't get excited - we are not paying for all of them. How we run that on Cloudflare Durable Objects, Sandboxes, and R2.
- engineering
- cloudflare
- durable-objects
- infrastructure
How to Choose an AI Agent Platform for Your Team
A vendor-agnostic evaluation checklist for AI agent platforms: pilot-failure data, six evaluation criteria, governance pressure, and a scorecard you can reuse.
- ai-agent
- ai-employee
- governance
- product
AI Agent vs Zapier Automation
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.
- comparison
- zapier
- ai-agent
- automation
AI Agent vs Virtual Assistant: Cost and Capabilities
AI agent vs virtual assistant: compare monthly cost, availability, and inspectable work records before you replace suitable VA tasks with a supervised AI employee.
- ai-agent
- virtual-assistant
- pricing
- comparison
AI Agent Memory You Can Control
Give an AI agent persistent memory with provenance, corrections, temporal context, and controls to inspect, update, forget, or restore what it knows.
- ai-agent-memory
- persistent-memory
- ai-agent
AI Employee for Real Business Work
Meet the AI employee that researches, operates tools, creates files, and runs recurring work from a persistent, supervised workspace.
- ai-employee
- ai-agent
- business-automation
AI Workflow Automation
Create reusable linear AI workflows, run them on demand, or schedule recurring work across files, live browser runs, native email, and connected business apps.
- workflow-automation
- ai-agent
- scheduling
Construct vs ChatGPT, Claude, and Gemini
Compare Construct with chat assistants such as ChatGPT, Claude, and Gemini across workspace, tools, memory, schedules, and workflows.
- comparison
- chat-assistants
- chatgpt
- ai-employee
Construct vs coding-focused agents
Compare Construct with coding agents. See when a generalist AI employee for email, research, calendar, CRM, and code is the better fit.
- comparison
- coding-agents
- ai-employee
Construct vs Microsoft Copilot and Google Workspace AI
Compare Construct with Microsoft Copilot and Google Workspace AI. See how one vendor-neutral AI employee works across apps from a persistent workspace.
- comparison
- copilot
- google-workspace
- ai-employee
Construct vs building your own AI agent
Building your own agent means wiring sandbox, apps, channels, memory, schedules, and user-facing activity summaries yourself. Construct provides those pieces as a hosted product.
- comparison
- agent-frameworks
- diy
- ai-employee
Construct vs Zapier, Make, and n8n
Compare Construct with Zapier, Make, and n8n for deterministic workflows, agentic steps, scheduling, and ambiguous multi-step work.
What is an AI employee?
Learn what an AI employee is, how it differs from a chatbot, and how Construct completes work across email, Slack, browser, and connected apps.
Chat Assistants vs AI Employees
ChatGPT and Claude are great at drafting, but autonomous ops need execution, persistence, and inspectable work. See how Construct compares to chat assistants.