recast-agent-demo

Diagnose whether comments contain demand signals for explanation, comparison, tutorial, retest, or follow-up content.

Synthesize search results into source-backed facts, agent inference, and evidence gaps.

Diagnose whether an old creator post contains reusable ReCast asset value and what kind of asset it is.

Judge whether the old content deserves a ReCast task, no-action report, or further observation.

Frame the likely ReCast opportunity type before external research: retest, comparison, tutorial update, recommendation update, follow-up, or no action.

Compose a natural-language research plan from the old content diagnosis, opportunity hypothesis, and candidate probe skills.

Probe whether product, model, software, game, or platform updates after the old post could trigger a retest.

Generate a concrete ReCast task card from the opportunity judgement and evidence.

Classify search results by what type of product decision they can support, so the agent does not upgrade weak sources into hard facts.

Probe whether recent community discussion supports, questions, or reframes the old content angle.

Probe whether new alternatives, competitors, or comparison frames make an old claim worth revisiting.

Produce a first-class no-action report when evidence is insufficient or the old content should remain quiet.

Lightweight probe for platform rule, policy, compliance, safety, or license changes that may affect old content.

Lightweight probe for whether price, plan, access, channel, stock, or region availability changes affect old content.

Turn a ReCast task card into a shootable script brief and old-post linkback.

Lightweight probe for whether an old topic has resurfaced due to a new event, meme, release, controversy, or seasonal cycle.

Lightweight probe for whether an old tutorial or workflow may have drifted due to UI, API, permission, or process changes.