EDITORIAL SERIES
Run It Yourself
Practical open-model and AI-use guides for individuals and small organizations.
People who want to inspect or try a system while understanding permissions, costs, and limits.
Published work
- What “open source” means for space-science AI
An existing Bright guide separating code, weights, data, licenses, and practical access.
What every edition contains
- goal
- prerequisites
- tested path
- hardware and cost
- license and privacy
- failure modes
- sources
- checked date
Source and fact-check standard
- Official documentation and license
- dated release identity
- clearly marked hands-on results if any
- no unsupported compatibility claim
- Repeat the documented setup
- Record exact versions
- Check license scope
- Remove secrets and personal data from examples
Author: Bright guide author. Reviewer: Technical reviewer and human editor.
From draft to correction
- Need definition
- source review
- test plan
- hands-on verification when claimed
- technical review
- editorial approval
- publish
Add a dated compatibility note or correction without erasing which version was tested.
Newsletter, social, and support
May appear as the optional practical action.
Demonstrate one bounded action and point viewers to the full prerequisites and limitations.
Sponsorship: A separate tool sponsorship may be eligible if it cannot influence the instructions or conclusion.
Never sponsored: A benchmark result, safety conclusion, license interpretation, or undisclosed product placement.