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AI Economics Field Guides
Practical worksheets for AI costs, limits, and pricing
Two free workbooks for teams building with AI. Survive the Launch helps founders model cost per useful task, launch spikes, free-tier exposure, heavy users, and agent budgets. Add AI. Keep Your Margins. helps established teams protect plan margins, design included usage, choose a value unit, and set pricing triggers. Each guide has 10 five-minute exercises and a readiness card. No signup. No catch. Just practical lessons learned the hard way.
I made these field guides after seeing the same gap come up around AI products: teams can see a provider bill, but they often cannot say what one useful customer task costs, what a launch spike would expose, or when an “AI included” plan stops making economic sense.
I wanted something more useful than another pricing essay, so each guide is built around ten short decisions and a five-minute worksheet for each one.
There are two starting points:
🚀 Field Guide 01: Survive the launch is for founders and builders preparing a new AI product, free trial, cohort, or launch. It covers cost per useful task, success scenarios, free-tier budgets, heavy users, guardrails, context, model choice, agent budgets, and pricing triggers.
📈 Field Guide 02: Add AI. Keep your margins. is for established software teams adding AI to existing customers and plans. It covers feature P&L, plan margin, account attribution, hidden cross-subsidy, value units, included usage, guardrails, and packaging review triggers.
Both PDFs are free, vendor-neutral, and available without a signup. You can complete them with provider dashboards, logs, and a spreadsheet.
I’m still learning too. I’m offering a free 30-minute 1:1 to hear how teams are approaching AI pricing and to work through your answers together. There is no pitch. You can schedule it from the landing page if that would be useful.
I would especially value feedback on one question: Which AI economics decision is hardest for your team to make with confidence today?
About AI Economics Field Guides on Product Hunt
“Practical worksheets for AI costs, limits, and pricing”
AI Economics Field Guides was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #87 on the daily leaderboard. Two free workbooks for teams building with AI. Survive the Launch helps founders model cost per useful task, launch spikes, free-tier exposure, heavy users, and agent budgets. Add AI. Keep Your Margins. helps established teams protect plan margins, design included usage, choose a value unit, and set pricing triggers. Each guide has 10 five-minute exercises and a readiness card. No signup. No catch. Just practical lessons learned the hard way.
On the analytics side, AI Economics Field Guides competes within SaaS, Artificial Intelligence and Monetization — topics that collectively have 525.1k followers on Product Hunt. The dashboard above tracks how AI Economics Field Guides performed against the three products that launched closest to it on the same day.
Who hunted AI Economics Field Guides?
AI Economics Field Guides was hunted by Troy Magennis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Economics Field Guides including community comment highlights and product details, visit the product overview.
Troy Magennis
Hi Product Hunt 👋
I made these field guides after seeing the same gap come up around AI products: teams can see a provider bill, but they often cannot say what one useful customer task costs, what a launch spike would expose, or when an “AI included” plan stops making economic sense.
I wanted something more useful than another pricing essay, so each guide is built around ten short decisions and a five-minute worksheet for each one.
There are two starting points:
🚀 Field Guide 01: Survive the launch is for founders and builders preparing a new AI product, free trial, cohort, or launch. It covers cost per useful task, success scenarios, free-tier budgets, heavy users, guardrails, context, model choice, agent budgets, and pricing triggers.
📈 Field Guide 02: Add AI. Keep your margins. is for established software teams adding AI to existing customers and plans. It covers feature P&L, plan margin, account attribution, hidden cross-subsidy, value units, included usage, guardrails, and packaging review triggers.
Both PDFs are free, vendor-neutral, and available without a signup. You can complete them with provider dashboards, logs, and a spreadsheet.
I’m still learning too. I’m offering a free 30-minute 1:1 to hear how teams are approaching AI pricing and to work through your answers together. There is no pitch. You can schedule it from the landing page if that would be useful.
I would especially value feedback on one question: Which AI economics decision is hardest for your team to make with confidence today?