Courses

Interactive courses on AI agents, automation and revenue operations. Each course is broken into modules and lessons with short knowledge checks.

Learn one system in manageable steps

Flowgrammer courses break an AI, automation, or revenue-operations subject into ordered modules and lessons. Each course page explains the level, lesson sequence, and available knowledge checks so you can judge the scope before starting.

The lessons are designed for practical application. Work through them in order when the later material depends on an earlier setup, or return to a specific lesson when you need its process, example, or checklist during a build.

Choose the course that matches your current work

Start with the outcome you need rather than the broadest subject. A focused course is useful when you can apply the lessons to a current workflow, campaign, agent, or operating problem and compare the result with how the work runs today.

Keep your working example beside the course and complete the knowledge checks against that example. Record any assumption that does not match your situation, because the useful result is a decision or build you can explain, not simply reaching the final lesson.

Published courses

Run a 90-Day AI Automation Portfolio — Turn competing AI automation requests into a leadership-ready 90-day portfolio with priorities, owners, baselines, human decision rights, stage gates, and stop rules.
Build a Morning Intelligence and Trend-Watching Agent — Build a bounded morning intelligence agent that preserves source evidence, ranks developments without overclaiming, exposes failures, and produces one review-ready brief.
Build an AI Content Performance Analyst — Build a repeatable content analysis workflow that handles missing data honestly, identifies supported patterns, and turns one defined dataset into ten measurable content experiments.
Build a Meeting Preparation and Follow-Up Agent — Build and test a privacy-conscious meeting agent that creates a sourced preparation brief, captures actual decisions, and produces a human-reviewed follow-up draft.
Build an AI Competitor Intelligence Monitor — Build and test a narrow competitor monitor that preserves dated evidence, detects meaningful changes, and produces a recurring decision report without automating outreach.
Build an AI Lead Research and Prospecting Agent — Build a capped evidence-first prospecting agent that researches approved public signals, preserves raw records, explains uncertainty, remembers prior events, and drafts without sending.
Build a Local-Service Lead Response and Booking System — Build and verify a test-environment lead-response and booking system for one local-service offer with traceable intake, human review, booking states, and failure recovery.
Build a Business AI Agent with AGENTS.md, Skills and Evals — Turn one repeatable business job into a narrow file-aware agent with durable context, a custom skill, permissions, held-back evals, and a verified launch pack.
Design Reliable Document Processing Automation — Design the requirements, controls, human review, safe destination contract, test corpus, and implementation plan for one document family.
Build a Lead Qualification and Sales Handoff System — Define how your team identifies fit, scores evidence, accepts sales-ready leads, routes every outcome, and tests the handoff before automation.
Choose Your First AI Automation Workflow — Choose one worthwhile AI automation workflow, map how it operates, and produce a practical decision pack before you buy software or approve a build.