George Kelly / The open library
Agentic commerce.
An operator’s field guide.
Commerce still has to work in the real world. A practical library on the economics, product truth, and operating decisions that make agents useful.
Explore the guidesThe working library
Read it. Put it to work.
12 connected guides.
Clear definitions, worked examples, and useful artifacts.
Agentic commerce starts with an operating model.
A practical framework for choosing agent-assisted commerce work, setting decision rights, and proving that the result is worth the cost.
ROAS calculator: break-even and contribution
Calculate ROAS, contribution after advertising, and the break-even return for your margin. Includes worked examples and a margin comparison.
Product data an agent can use without guessing.
A practical product-data contract for variants, dimensions, availability, provenance, and unknown values, with a downloadable JSON example.
From request to release: a supervised commerce workflow.
An original seven-stage operating checklist for turning agent-assisted commerce work into an inspectable, authorized, verified release.
Measure AI visibility without confusing it with traffic.
A measurement framework that separates crawler access, answer citations, referral visits, and qualified commercial outcomes.
Make a website easy for agents to find, read, and use.
An evidence-based guide to crawler access, HTML, structured data, Markdown, llms.txt, feeds, and real tool descriptions.
How do you check AI product copy before publishing?
A claim-by-claim review method, six failure cases, and a reusable evaluation brief for AI-assisted product descriptions.
How to read AI referral traffic in GA4
Use GA4’s AI Assistant channel, check source/medium, and reconcile known QA visits. Includes a worked review and reusable worksheet.
Can your stock support more ad spend?
An inventory and ad-spend calculator with daily stock checks, a delayed-delivery example, and a downloadable decision worksheet.
Product data ownership: resolve a price conflict
A field-ownership register for PIM, ERP, storefront, and feed data, with a worked correction and explicit release checks.
Does the product page match the variant you submitted?
A six-case acceptance test for variant identity, price, availability, and missing facts, with reusable JSON fixtures.
Is the campaign still profitable after returns?
A worked order-cohort reconciliation for refunds, recovered inventory, return costs, and ad spend, with a reusable review template.
One number rarely tells the whole story
5× ROAS.
What’s left?
Revenue efficiency and commercial contribution answer different questions. Change the assumptions and see what remains after advertising.
Use the contribution calculator- Net revenue
- 1,000
- Product + variable costs
- −700
- Advertising
- −200
- Contribution after ads
- 100
Before fixed overhead. One currency throughout.
Built for people. Accessible to agents.
Good ideas should
travel well.
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