Agent Intent Infrastructure
How AI Agents Discover Products
AI agents discover products through stable URLs, scoped packages, safe calls, OpenAPI files, manifests, and READMEs they can verify.
AI Agent Sandbox: Build a Controlled Agent Workspace
An AI agent sandbox gives a software agent isolated files, processes, network rules, and reviewable output. Learn how to test the workspace with a real task.
Browser Automation for AI Agents: Evidence and Safe Stops
Browser automation for AI agents needs page state, screenshots, recovery, and a clear stop condition so a reviewer can tell what happened.
OpenAI Compatible Routers for Agents
OpenAI-compatible routers for agents keep one request shape while exposing model discovery, routing policy, usage records, and provider changes without hiding capability or cost differences.
x402 Payments for AI Agents: v2 Safety Guide
Learn how x402 payments for AI agents work in v2, how to inspect payment requirements, prevent duplicate work, reconcile settlement, and separate a payment receipt from proof that the service result is correct.
Natural Language E2E Testing for Wallet Apps
Natural-language E2E testing for wallet apps lets agents drive browser flows while stopping before destructive signing and preserving evidence.
AI Agent Runtime Environment: Tools, State, and Proof
An AI agent runtime environment gives a model tools, files, permissions, and records for real work. Follow a toy tax-document review workflow.
Tangle Sandbox vs E2B: Choosing An AI Agent Sandbox
Tangle Sandbox and E2B both run code for AI agents, but they preserve different things after a task fails: E2B offers isolated Linux sandboxes and templates, while Tangle adds durable agent sessions, workspace recovery, and trace-oriented review.
Tangle Sandbox vs Daytona and Modal
Tangle Sandbox, Daytona, and Modal all run agent code, but their useful comparison is the unit of work: a durable agent computer, a composable development sandbox, or a serverless function, job, or GPU workload.
Tangle Browser Agent vs Browserbase and Browser Use
Tangle Browser Agent, Browserbase, and Browser Use solve different parts of browser automation: an evidence-first task runner, managed browser sessions, and a natural-language browser agent API.
Deploying a Paid AI Agent Service: Start With One Traceable Job
A practical path for exposing one paid AI job with discovery, authorization, payment, execution, recovery, and evidence that a buyer can inspect.
TEE Attestation for AI Services: What the Evidence Proves
TEE attestation for AI services can bind a request to approved code running on protected hardware, but it does not prove an AI answer is correct. Learn how to check the report, release secrets safely, and handle failure.