The Authoritative Source for DCPF

dcpfai.org is the authoritative site and definitive reference for current official DCPF ebook editions, learning materials, permissions information, and updates. Copies obtained elsewhere may be older, incomplete, modified, or superseded.

Return to this page before downloading or sharing DCPF materials to confirm the current official edition and release status.

Introductory Edition PDF Is Being Prepared

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Publication
DCPF Introductory Edition
Planned format
Reader-ready PDF
Release status
In preparation. No public file is available yet.
Authoritative source
This Downloads and Official Materials page at dcpfai.org

Official Materials Available Now

Website Learning Pages

Learn the architecture, workflow, standard responsibilities, human handoffs, experimental boundary, and appropriate-use criteria directly on the official website.

Begin with What Is DCPF?

Website Starter Kit

Use the Minimum Viable DCPF workflow, project workspace, copyable starter artifacts, artifact-access rules, and human review guidance without downloading a separate starter package.

Start Using DCPF

Learn DCPF With AI

Give a browsing-capable AI the official website as its authoritative DCPF source and use the provided instructions to learn or prepare working artifacts.

Learn DCPF With AI

Copyright and Permissions

Review the permissions, experimental-use limitations, user responsibilities, template restrictions, assumption of risk, and conditions governing DCPF materials.

Copyright & Important Notice

What the Introductory Edition Will Add

The website provides the practical starting path. The complete Introductory Edition adds deeper explanation and extended learning resources, including:

  • the full conceptual and architectural development of DCPF;
  • detailed Governance, Research, Knowledge, and Runtime chapters;
  • guided practicums and worked examples;
  • full template starts and implementation guidance;
  • quick-reference, checklist, glossary, and responsibility-consequence resources; and
  • additional discussion of validation, maintenance, scaling, and future development.

Before You Download or Use DCPF Materials

  • Read the Copyright & Important Notice.
  • Remember that DCPF is experimental and has not been broadly or independently validated.
  • Begin in a controlled, low-risk testing environment.
  • Validate the implementation for your domain, AI system, tools, and operating environment.
  • Retain human judgment, verification, acceptance, and accountability.
  • Confirm that the file comes from dcpfai.org and is identified as the current official edition.

Need a Permission Beyond the Published Terms?

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Permissions & Contact