What it means

Microagents are small, single-purpose AI agents you build to handle one narrow task, like pulling Google Search Console data and turning it into action items, or scraping and analyzing 2 pages. Instead of one system that does everything, you connect these simple building blocks and compose them into more capable workflows over time. Kevin's advice from his live session is to start with a defined, simple use case rather than a general-purpose agent.

Why it matters

For a growth team, microagents are how you 10x repetitive work without waiting for one do-everything tool. Each agent owns a small, verifiable job, so you can chain them, swap one out, and trust the output more than you would a single black box. Kevin expects a major agent breakthrough and points to a growing number of agent platforms that make this buildable now.

Say a mid-market B2B SaaS growth team builds 3 microagents: One pulls weekly Search Console data and flags pages that dropped, one scrapes the 2 competitors ranking above them, and one drafts a fix brief. What used to be a 6-hour manual Monday audit runs in 20 minutes, and the SEO lead reviews the output instead of assembling it.

How to use this knowledge

Define one simple, high-frequency task first, like extracting Search Console data and generating action items, and ship that before anything ambitious. Keep each agent narrow so its output is easy to verify. Chain the building blocks into a workflow, and add a checking step where one agent verifies another's work, the way multi-agent debate uses a second agent as a judge. Expand scope only once the simple agents are reliable.

Growth Memo guidance

Start with tasks like extracting data from Google Search Console and generating action items, or scraping and analyzing two pages. By connecting these simple building blocks, you can create more complex agents over time. — Live Session recap - 1/31/25

The growing number of AI agent platforms is exciting, and I believe we'll see a major agent breakthrough this year. — Live Session recap - 1/31/25

New technology, like "ReliabilityRAG" or "Multi-Agent Debate," where one AI agent retrieves the info and another agent acts as a "judge" to verify it. — 10 SEO, marketing, and tech predictions for 2026

  • AI agents — the broader category; microagents are the small, task-scoped version you compose.

  • Multi-agent debate — pairing a retriever agent with a judge agent to verify output before you trust it.

  • Agentic web — the emerging infrastructure where agents, not only people, retrieve and transact on the open web.

  • Workflow automation — the result when you chain microagents into a repeatable process.

Referenced in these Growth Memos


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