AI Agents for Sales
Learn what AI sales agents can do, how CRM permissions and autonomy differ, and how to evaluate, deploy, and monitor them safely.
Challenges Healthcare Organizations Face When Building Browser Agents
A practical guide to PHI, prompt injection, authorization, auditability, resilience, and human control for healthcare browser agents.
The Four Levels of Browser Agent Autonomy
Understand Levels 1–4 of browser-agent autonomy, choose the right control model, and design safer, observable workflows that scale.
How to Train and Evaluate Browser Agents
A practical guide to training browser agents from demonstrations and evaluating task success, generalization, recovery, cost, and safety.
How to Build Reinforcement Learning Tasks for Browser Agents
Design reproducible browser-agent RL tasks with clear goals, observations, actions, validators, rewards, curricula, and reliable evaluation.
Browser Environments for Training and Evaluating Agents
Compare browser-agent environments by task realism, observations, actions, evaluation, and scale. Choose a practical stack for training and benchmarking.
How to Pause and Resume AI Agent Runs
Pause an agent safely for human approval, persist its state, and resume the original run after a restart. Includes Python and JavaScript patterns, streaming, and recovery guidance.
Using AI Agents to Turn Task Descriptions Into Structured Data
Learn how to turn natural-language tasks into validated JSON with schemas, grounded extraction, failure handling, and production checks.
How to Let an AI Agent Fill Web Forms with a Browser
Build a browser agent that observes forms, fills fields safely, verifies results, and pauses before consequential submissions.
Real-Time Web Search for AI Agents
Build agents that retrieve current web evidence, preserve citations, validate claims, and control latency and retrieval cost.
Web Scraping and AI Agent Use Cases
Learn which scraping method fits an AI agent, how to build safe workflows, and when APIs, HTTP, Playwright, or computer use are the right choice.
How to Build a Documentation Chatbot for Any Website
Build a citation-backed documentation chatbot with ingestion, retrieval, evaluation, security, and a production deployment plan.
What Is a Fetch API? When Your Agent Needs One Instead of a Browser
Fetch makes direct HTTP requests; a browser runs and renders pages. Learn which one your agent needs, how to handle responses, and when screenshots require a browser.
AI Deep Research: Methods, Tools, and Workflows
Learn how AI deep research searches, verifies, and synthesizes sources—and how to choose tools and check citations before you rely on a report.
Instagram Scraping APIs for AI Agents
Compare Instagram APIs and scrapers for AI agents, with authorization models, runnable integrations, limits, reliability, compliance, and architecture guidance.
Google Patents Scraping and API Skills for AI Agents
Build a reliable Google Patents retrieval skill with query design, structured APIs, provenance, validation, cost controls, and runnable agent code.
Open-Source AI Agents That Save You Time
Compare open-source AI agents for coding, browser automation, research, and multi-agent workflows—and choose one that fits your task.
How AI Agents Use Competitor Data
Learn how to build a competitor intelligence agent that collects public data, verifies changes, and sends useful, traceable alerts.