How an SEO agent turns noisy keyword data into a defensible content decision
See how an SEO agent used Scrollport to research keyword demand, test a content idea and produce an evidence-backed article under editorial supervision.
Read the evidence
Field guides and evidence for AI agent Skills and tools
Choose a workflow, improve the result and inspect the evidence, cost and human controls behind the tools your agent uses.
Start with observed evidence
Evidence behind the first Skill bundles
Agent tools and architecture
What are AI agent tools? Tools, skills, APIs and MCP explained
A practical guide to the functions, instructions and connection layers that let AI agents take useful action beyond a conversation.
MCP vs API vs CLI: how should an AI agent connect to tools?
Compare MCP, direct APIs and CLIs for AI agents by tool discovery, host support, credential storage and execution requirements.
What is an MCP gateway? Tool router, registry and catalog compared
Compare an MCP gateway with a tool router, registry, direct server and managed tool catalog, including the OpenRouter-for-tools analogy.
AI agent tool discovery without loading hundreds of tools
Use progressive disclosure to help AI agents discover, inspect and run the right API tool without loading a growing catalog into context.
AI agent architecture: models, harnesses, tools, memory and controls
Understand the five layers of a production AI agent, how the harness controls execution and when to add tools, memory or multiple agents.
Skills and workflow methods
What are agentic workflows? Examples, architecture and when to use them
Learn how agentic workflows combine model decisions, external tools and human controls, with practical examples and a framework for choosing when they fit.
SEO agents: tools, workflows and controls
Learn how AI SEO agents use live search data to automate keyword research, SERP analysis and page decisions without automating away human judgment.
AI lead generation: build a verified B2B lead list
A repeatable workflow for defining an ICP, finding matching people and companies, enriching records and verifying contact data.
Reddit lead generation: find buyer-intent posts with AI
A bounded research workflow for finding public Reddit discussions that reveal problems, evaluation criteria and purchase intent without automating outreach.
How to summarise YouTube videos for a sourced research brief
Select a bounded set of relevant videos, obtain reviewable source material and produce a research brief that keeps every claim tied to a video and timestamp.
Amazon competitor analysis: compare listings and reviews with AI
Compare public Amazon listing claims, attributes and available review text without confusing marketplace data with verified product performance.
Hotel competitor analysis: find patterns in guest reviews with AI
A source-aware method for comparing recurring guest themes across a bounded set of Booking.com properties and review periods.
How to create an AI podcast from research notes
Convert sourced notes into an evidence-led dialogue script, generate bounded audio batches and keep editorial, voice-rights and publication decisions human.
Real AI agent workflow examples: practical guides and evidence
Compare practical AI agent workflow guides with field-tested examples backed by reproducible run evidence, observed cost and editorial review.
Business adoption and governance
AI agents for business: what can they do beyond chat?
See where AI agents create business value, when external tools are required and how to keep execution measurable and under human control.
AI agent observability: what to trace, measure and review
Trace AI agent decisions, tool calls, cost and outcomes so operators can find failures, protect sensitive data and improve real workflows.
How to evaluate and test AI agents
Build practical AI agent evaluations from representative tasks, explicit success criteria, deterministic checks and human review.
Enterprise AI agents: a practical rollout and governance guide
Move an AI agent from bounded pilot to wider business use with a workflow owner, explicit authority, measurable outcomes and evidence-led gates.
Access, security and economics
How to give AI agents API access without provider accounts or keys
See a sourced company-research example with actual tool costs, then compare API access models and optional connected apps.
AI agent API spending controls: approval thresholds and daily caps
Follow a Claude Code-compatible walkthrough of tool prices, a settled search charge, human approvals, daily caps and optional auto top-up.
MCP server security checklist: how to evaluate tools before connecting them
Evaluate MCP servers for provenance, permissions, credential handling, tool integrity, prompt-injection controls, logging and revocation.
Pay-per-use API tools vs subscriptions for AI agents
Compare pay-per-use API tools with subscriptions by workload, billing unit, provider-account overhead and spending predictability.
Verified API tools for AI agents: how Scrollport checks them
How provider availability, accepted real-run evidence and health monitoring produce a catalog of verified API tools for AI agents.
Put the ideas into practice
Choose a verified Skill, browse the live tool catalog, follow the quick-start guide or give your agent the Scrollport setup instructions.