# Desk log AIDB-NATIVE-PACK-20260822

**Status:** First-party sanitized composite/demo; not raw, customer, source, benchmark, or third-party data
**Page:** https://infinisynapse.com/en/blog/ai-native-dashboard
**Run ID:** `AIDB-NATIVE-PACK-20260822`
**Date:** 2026-08-22 (Saturday)
**Operator:** InfiniSynapse Data Team
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))
**Contact for contradictions:** zhuhl@infinisynapse.com

## What this file is

A downloadable record of a six-tile published catalog versus a Wednesday task pack that left three charts and a Markdown exception list. Companions: [aggregate CSV](https://infinisynapse.com/blog-media/ai-native-dashboard/downloads/aggregate-AIDB-NATIVE-PACK-20260822.csv) and [verify script](https://infinisynapse.com/blog-media/ai-native-dashboard/downloads/verify-AIDB-NATIVE-PACK-20260822.py). It is **not** a named-logo customer case, a vendor bake-off, or a W3C / ISO / IBM / Gartner experiment.

## Six-step disclosure method

1. Connect one authorized source—or two, if the meeting needs both.
2. Write the meeting goal, the window, and the decision. Do not ask for “some charts.”
3. Open the plan and the query behind each figure.
4. Download the charts and memo. Confirm a teammate can open them without the original chat.

## Source and goal

| Field | Value |
|---|---|
| Sources | Read-only Postgres replica + sanitized SKU note file |
| Goal | Wednesday stand-up: which SKUs missed promise this week |
| Contrast | Tile catalog vs Wednesday task board |

## Results

| Retrieval state | Published tiles | Charts that answer the ask | Exception memo |
|---|---|---|---|
| Tile catalog | 6 | 0 | 0 |
| Wednesday task board | 0 | 3 | 1 |

Wall-clock for the successful run: 21 minutes (warehouse time excluded).

No independent reproduction was known as of 2026-08-29. Independent replication should disclose tool, model, version, configuration, prompts; source schemas, snapshots, access; metric, grain, join, filter, timezone; goal, audience, window; SQL, semantic query, transforms; run IDs, status, errors, timestamps; chart, data, artifact hashes; catalog baseline construction; all failures; review and accessibility protocol; freshness and wall clock; and conflicts of interest.

## What you may cite

- Artifact counts 6/0/0 → 0/3/1, ~21 min wall-clock, run ID

## What you may not claim

- Customer speedup %, official EEAT score, named-logo case, or that W3C / IBM / Gartner / WAIC scored this run

## External context (not validation of this run)

- [W3C WCAG 2.1 quick reference](https://www.w3.org/WAI/WCAG21/quickref/) (retrieved 2026-08-29)
- [W3C DCAT 3](https://www.w3.org/TR/vocab-dcat-3/) (retrieved 2026-08-29)
- [IETF RFC 4180](https://www.ietf.org/rfc/rfc4180.txt) (retrieved 2026-08-29)
- [ISO/IEC 27001](https://www.iso.org/standard/27001) (retrieved 2026-08-29)
- [IBM: What is augmented analytics?](https://www.ibm.com/topics/augmented-analytics) (retrieved 2026-08-29)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-29)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms) (retrieved 2026-08-29)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition)

## Validation boundary

No independent third-party, media, or customer reproduction was known as of 2026-08-29. The aggregate CSV is demo data, not raw or source data.