# 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

[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](https://scrollport.com/resources/automated-keyword-research-seo-agent)

[What does a qualified B2B lead cost? Clay, Apollo and ZoomInfo compared Compare the cost of a raw B2B contact with a researched, contact-ready prospect across Clay, Apollo, ZoomInfo and usage-based agent workflows. Read the evidence](https://scrollport.com/resources/qualified-b2b-lead-cost)

## 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.](https://scrollport.com/resources/what-are-ai-agent-tools)
- [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.](https://scrollport.com/resources/mcp-vs-cli-vs-api-for-ai-agents)
- [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.](https://scrollport.com/resources/what-is-mcp-gateway)
- [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.](https://scrollport.com/resources/why-scrollport-uses-a-small-control-surface)
- [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.](https://scrollport.com/resources/ai-agent-architecture)

## 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.](https://scrollport.com/resources/what-are-agentic-workflows)
- [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.](https://scrollport.com/resources/seo-agents)
- [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.](https://scrollport.com/resources/build-b2b-lead-list-with-ai-agent)
- [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.](https://scrollport.com/resources/find-buyer-intent-posts-reddit-ai-agent)
- [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.](https://scrollport.com/resources/youtube-videos-sourced-research-brief-ai-agent)
- [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.](https://scrollport.com/resources/analyse-amazon-competitor-listings-reviews-ai-agent)
- [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.](https://scrollport.com/resources/analyse-competitor-hotel-reviews-ai-agent)
- [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.](https://scrollport.com/resources/research-notes-multi-speaker-podcast-ai-agent)
- [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.](https://scrollport.com/resources/real-ai-agent-workflow-examples)

## 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.](https://scrollport.com/resources/what-can-ai-agents-do-with-tools)
- [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.](https://scrollport.com/resources/ai-agent-observability)
- [How to evaluate and test AI agents Build practical AI agent evaluations from representative tasks, explicit success criteria, deterministic checks and human review.](https://scrollport.com/resources/evaluate-test-ai-agents)
- [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.](https://scrollport.com/resources/enterprise-ai-agents)

## 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.](https://scrollport.com/resources/give-ai-agents-access-to-external-tools)
- [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.](https://scrollport.com/resources/control-ai-agent-spending)
- [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.](https://scrollport.com/resources/mcp-server-security-checklist)
- [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.](https://scrollport.com/resources/pay-per-call-ai-agent-tools)
- [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.](https://scrollport.com/resources/how-scrollport-verifies-ai-agent-tools)

## Put the ideas into practice

[Choose a verified Skill](https://scrollport.com/skills), browse the [live tool catalog](https://scrollport.com/tools), follow the [quick-start guide](https://scrollport.com/docs/quickstart) or give your agent the [Scrollport setup instructions](https://scrollport.com/start).

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Canonical page: https://scrollport.com/resources