[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_29":-5,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5,"_12":-5},"book",{"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24},"currentUser","formToken","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODQ4Nzc","title","Practical Work Delivery with Multiple AIs","state","published","contactAuthorMethod","email","aboutText","

Turn an idea into a result you can check and use.

Practical Work Delivery with Multiple AIs is a hands-on guide for people using a computer and AI to finish real work. You do not need to be a software engineer. Begin with a small research decision, then learn how to prepare your tools, define a manageable task, produce an output, challenge it independently and act on the findings.

The book uses two or more consumer AI command-line tools with Jira for work units, Confluence for complete records and GitHub for durable files. It explains separate AI identities, editable diagrams, automated pickup, cumulative limits, stopping and recovery. Worked examples cover a research assignment, a PowerPoint presentation and a small software tool.

The method is practical about uncertainty: multiple AI opinions do not prove an answer. Use sources, calculations, rendered outputs and relevant tests to check the work. Keep the evidence and lessons so the next task starts better informed.

Includes 20 chapters, illustrated workflows, a glossary and companion exercises. The exercised automation reference is on macOS; other platforms need their own qualification.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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