| Asset | Last updated | Freshness | Utilization | Why it matters commercially |
|---|
Data discipline: every row is a real, public asset. Commercial-relevance notes are drawn from the underlying strategy analysis. No dates, scores, or figures are estimated — assets without a published update date are marked "unknown" rather than guessed.
Google Stitch has no pricing structure yet, while every comp across the AI labs does. Figma — the direct comp — runs a proven seat-plus-shared-credit hybrid; Anthropic and Mistral sell seat-plus-usage; OpenAI and Perplexity hold flat per-seat structures; Runway, Notion, and Heptabase run metered credits; Google's own Agent Platform meters consumption. Stitch remains free with no paid tier and no payment method required, its commercial architecture unwritten ahead of an expected Q4 2026 pricing decision. This is the kind of open gap this panel exists to surface.
| Product | Structure | Pricing (as cited) |
|---|
Data discipline: every figure is publicly sourced and cited. Analyst expectations and third-party-tracker figures are labeled as such and never presented as vendor-confirmed. Where a price is not officially published (NotebookLM Enterprise per-license), none is stated.
Data discipline: the memo surfaces pre-validated actions sequenced Now / Next / Later. This panel introduces no new claims.
1. Detection is manual in this prototype. The "change detected" flag records a change hand-sourced from the vendor's own documentation; no crawler or diffing pipeline runs behind it. The prototype demonstrates the post-detection workflow — diff, urgency flag, affected products, documented upsell path, memo. The production design is a watcher over a registry of tracked assets, diffing snapshots and routing structured alerts, with announcement lead time (here, 27 days) as the key signal.
2. Utilization is not measured. Asset health is freshness and utilization; utilization requires internal instrumentation (asset views/shares, field pulls, opportunity attach rate) unavailable from public data. It is shown as N/A rather than fabricated. Freshness thresholds (30/60 days) are an illustrative rubric; a production version replaces calendar age with event-driven staleness tied to dependency changes.
3. The memo generator sequences; it does not author. Actions are drawn verbatim from the underlying strategy analysis. Asset and competitor selection reflects that analysis's target gap; a production scorecard would run on a jointly owned asset registry, not a hand-picked list.
Independent prototype built entirely on public, cited sources. Demo dataset references Google, OpenAI, Perplexity, Figma, Notion, and Heptabase products. Not affiliated with or endorsed by any vendor referenced.