Digital Products — AI Context Summary¶
This is a short orientation for any AI agent about to work in
ventures/digital-products/. It is a summary, not a substitute for the required
reading listed in ../../AGENTS.md and
context-loading.md.
What this venture is, in one paragraph¶
Digital Products (an internal working name and repository slug — the venture's public,
customer-facing brand is "Devonside Labs," see
../strategy/brand-and-positioning.md) is a
Devonshire Digital LLC venture building structured digital productivity tools,
starting with advanced Excel workbooks. Products should solve a defined customer
problem, guide the user through a process, separate data entry from calculation and
output, ship with documentation and tests, reuse proven patterns where they
genuinely fit, and stay extensible to other platforms only when that doesn't
compromise Excel quality. Two products (llc-accounting-tracker and its -lite
variant) have been built in the venture's implementation repository,
devonside-labs — this repository holds venture-level policy/standards and an
unranked backlog, not product content (see
ADR-0017).
Where to look for what¶
- Venture-level strategy and positioning: ../strategy/
- Standards that govern how any product must be built: ../standards/ — start with ../standards/README.md
- Architecture patterns for products: ../architecture/
- The unranked product backlog: the devonside-labs repository's
docs/ai/product-backlog.md - Per-product specifications: entirely in the
devonside-labsimplementation repository, underproducts/<slug>/docs/— this repository holds no per-product content (see ADR-0017)
What NOT to assume¶
- Do not assume a public brand name exists. See ../strategy/brand-and-positioning.md.
- Do not assume any backlog item is scheduled or prioritized. See ../strategy/roadmap.md.
- Do not assume this venture's standards apply to other ventures. They don't.
- Do not fabricate market, revenue, or competitor data. See guardrails.md.