Using Agent Mode in a Browser Automation CLI
Learn the Agent Mode loop in agent-browser: install it, inspect JSON snapshots, act on fresh element references, and run reliably in CI.
Blog
Guides for capturing the web
How to take clean screenshots, turn HTML into images and PDFs, run headless browsers, and give AI agents eyes. Written by the team that builds ScreenshotNeo.
How to Cut Browser Agent Inference Costs with Model Routing
Route each browser step to the cheapest model that meets your quality, latency and safety gates, then measure cost per successful task.
Training Data for AI Models: Collection, Cleaning, and the Training Pipeline
Learn how to collect, clean, annotate, and govern AI training data, with a practical pipeline for quality, privacy, provenance, and ongoing maintenance.
How AI Proxies Work: The Request Lifecycle, Step by Step
Trace an AI proxy request from authentication and routing to provider response, retries, logging, and practical implementation choices.
AI Hardware: A Brief Introduction
AI hardware is a system of processors, memory, software, and power. Learn how CPUs, GPUs, NPUs, FPGAs, and TPUs differ—and how to choose where AI runs.
AI Proxy for Enterprise: Scale, Security, and Governance
Learn how an enterprise AI proxy centralizes model traffic, enforces zero-trust policy, and creates audit evidence across teams and providers.
How to Add Cinematic Motion to Video Templates
Build reusable video templates with smooth keyframed movement, editable controls, replaceable media, and reliable timing in Premiere or After Effects.
How to Add Website Screenshots to Clay Workflows
Add reliable website screenshots to Clay with URL validation, HTTP API enrichment, automation, retries, and a ScreenshotNeo shortcut.
How to Build an AI Design Agent
Build a Figma-connected AI design agent that uses your design system, makes reviewable edits, and validates its work before approval.
Best AI Website Builders: Tried and Compared
Compare the best AI website builders by site type, editing control, business features, pricing terms, portability, and long-term fit.
Web Data for AI and Machine Learning: Where Training Data Really Comes From
AI training data comes from web crawls, licensed collections, human-created examples, public-domain works, and synthetic data. Here’s how those sources are assembled and how to check their provenance.
Build an AI Research Dataset with Web MCP: Crawl Once, Reuse Forever
Build a reusable AI research dataset with Web MCP: crawl pages once, preserve citations, secure retrieval, and refresh content deliberately.
AI Screenshot Analysis with LLM Structured JSON Outputs
Turn screenshots into validated JSON with vision models, schemas, retries, and reliable capture workflows.
Getting Started With Qwen-Agent: Building AI Agents With Tools and RAG
Install Qwen-Agent, connect a Qwen model, add custom tools, and build a practical retrieval workflow with safety and deployment guidance.
How Much Web Data Can Your AI Agent Unlock with Apify or Exa?
Exa helps agents discover and read web sources; Apify runs task-specific scrapers that return structured datasets. Choose by the data and workflow you need.
How to Add or Change a TikTok Thumbnail
TikTok calls a thumbnail a video cover. Learn how to choose one before posting, when custom uploads may be available, and what to know about changing it later.
Scrapling: Adaptive Python Web Scraping Library for Changing Website Structures
Learn how Scrapling keeps selectors working as websites change, when to use HTTP or browser fetchers, and how to scale resilient crawls.
How CAPTCHAs Affect User Experience and Browser Automation
CAPTCHAs can protect sensitive actions, interrupt visitors, and stop browser tests. Learn how challenge types differ and how to build reliable, accessible flows.