12 modules · ~115 min
AI Agents at Work: A Product Launch, End to End
A software company launches a product in fourteen weeks with AI agents doing the research, the drafting and the design. Follow the campaign through all twelve people who touch it — and watch the bottleneck move from making things to being sure about them.
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What you'll be able to do
Follow a product launch campaign through every person who shapes it, in order
See exactly where AI agents help, where they don't, and what each one costs
Understand why an agent needs a human who owns what it asserts
Turn a pipeline target into leads, MQLs and opportunities — and back into a budget
Tell an approved product fact from a claim marketing wishes were true
Judge a thin statistic the way legal, product and analytics each judge it
Recognise how agents move the bottleneck downstream to review and approval
Measure a campaign — and measure the agents themselves — without flattering either
Specify an agent properly: the state it holds, its inputs, its behaviours and what it may never do alone
Choose the right metric for each agent — precision and recall, calibration, provenance completeness
Name who owns the outcome when an agent gets it wrong
Modules
12 in this track- 1The CMO: The Number Behind the CampaignFreeFourteen weeks to launch, $1.2m to spend and $9m of pipeline to produce. Delia Marchetti turns an ambition into the arithmetic eleven other people will live inside — and decides what the agents are and are not allowed to do.Start →
- 2The Product Manager: What Is Actually True?FreeWes Okafor writes the two lists every other desk will work from — what anyone may say about Supply Signal without asking, and what nobody may say at all — and refuses the one verb marketing most wants.Start →
- 3The Data Scientist: Give the Agent Access to the MarketFreeAnika Raghunathan builds the research agent that reads the outside world in three days instead of three weeks — and the rule that makes its output usable: no claim survives without a URL and a date.Start →
- 4Customer Insights: What Do They Actually Feel?FreeJoel Brennan takes 340 sourced claims about what the market says and sets them against twelve interviews, a year of CRM notes and 2,100 support tickets — and finds that the market talks about dashboards and buys because someone was blamed in front of their boss.Start →
- 5Product Marketing: Who Is This For, and What Do We Promise?FreeCamille Duarte has three candidate segments, an incumbent, a cheap startup and a market that mostly does nothing at all — and four days to turn Joel's insight into one sentence that eleven other people can build on without drifting.Start →
- 6The Campaign Manager: How a Stranger Becomes a BuyerFreeRyan Kovacs has $1.16m, fourteen weeks and a trade show that will not move — and has to turn one sentence into a journey, a channel mix and a set of dates that eleven other people can work to.Start →
- 7The Content Strategist: Directing the AgentsFreeRyan's matrix asks for around three hundred assets in four weeks, and Naomi Feldstein's agents could draft all of it by Friday — so she spends the first two days writing briefs, and the rest of the campaign reading.Start →
- 8The Creative Director: A Hundred Variants and One IdeaFreeTheo Alvarez can generate two hundred image variants before lunch, and none of it is creative direction. What the campaign needs is one idea that survives an advert, a booth wall and a black-and-white trade press print — and one image he refuses to make.Start →
- 9Legal and Privacy: May We Publish This?FreeMiriam Adeyemi's review queue used to be forty hours of material a quarter. The agents hand her roughly three times that, produced in a third of the time — and every sentence of it reads as though somebody has already checked it.Start →
- 10Marketing Operations: Does Any of It Connect?FreeDana Whitlock has three weeks to turn an approved campaign into a working machine — one taxonomy, one place approved assets live, one agreed definition of a qualified lead, and every path tested with real submissions before a dollar is spent.Start →
- 11Sales Development: Which of These Leads Are Real?FreeCurtis Nwosu has eleven reps and a target of 190 opportunities. He separates fit from intent, settles the MQL argument in writing, and insists that every rejected lead is rejected with a reason — because rejection without a reason teaches marketing nothing.Start →
- 12Did It Work — And Were the Agents Worth It?FreeLena Park and Arthur Reyes have $7.4m of pipeline against a $9m target and a ledger for the agents that nobody will enjoy. Reading an 82% result honestly, and measuring an agent by the whole system rather than the step that got faster.Start →