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.
5,369 stories
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.
LLM agent costs in production 2026: three workload models with token math and USD totals per 1,000 runs, from a 3-call support bot to an 8-step coding loop.
A practical playbook for AI agent teams: measure production conversations, catch silent failures, prioritize fixes, and close the loop from user chat to shipped improvement.
Since we introduced Spectra Blocks, we’ve heard from some of you wondering what the rename to Spectra Legacy actually means for the sites you’ve already built. It’s a reasonable question.
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve.
Your API gateway can tell you an agent made a call. Your directory can tell you the agent authenticated. Neither can tell you what the agent did once it was …
What conversational AI actually does for customer service in 2026, how to roll it out, and the tools worth shortlisting for each support model.
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
Why Ultima VII through the Exult open-source game engine ended up being the perfect testing platform for SurrealDB Agent Memory
Four ways teams share context between AI agents — pasting, a repo, an MCP server, a synced folder — and the trade-off each one makes.
One AppSignal customer wired our official CLI into an agent skill, so he can search production logs, triage incidents, and check deploys in plain English. Here's how he set it up, and what it lets him do.
OpenOwl gives Claude Code eyes and hands on your Mac through 42 MCP tools, free at 50 tool calls a day with no credit card. A setup guide covering install, permissions, your first automation, and what the free tier actually covers.
An AI agent's blast radius is the union of every grant you never revoked. Least privilege bounds each grant, not how long it stays open.
We compared 23 competitor monitoring and AI competitor analysis tools — competitor intelligence, SEO, ads, pricing, website changes, and mentions — with real prices and honest trade-offs.
Yes, but only when the agent is grounded in your systems, allowed to act, and escalates on your rules. What end-to-end resolution really takes.
AI agent security is moving at two speeds: most teams need action-level runtime enforcement now, while Google’s Beyond Zero points to what comes next.
Antigravity Agent Skills are a great way to teach your AI agent a workflow once and reuse it everywhere. You write a short SKILL.md file, drop it in a folder, and the agent picks it up whenever it's r
Most AI agent dashboards show system health. Product teams also need intent, trust, friction, handoff, recovery, and improvement loop metrics.
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