# Desk log ADR-MAM-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/markdown-analysis-memo  
**Run ID:** `ADR-MAM-20260825`  
**Date:** 2026-08-25 (Tuesday)  
**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 Friday contribution memo whose first screen named grain and file but omitted the test-account filter SQL applied, then a re-run that put the exclusion on the first screen. It is **not** a named-logo customer case, a vendor bake-off, or an OpenSearch / Prometheus / Stanford / McKinsey experiment.

## Four-step method (reproducible)

1. Bind a weekly contribution goal on a read-only finance-adjacent source plus a one-page definition note locking “contribution” and “test account.” Sanitize first.
2. Request a Markdown memo, two charts, and a CSV of SKUs over 8% versus plan. Score the first screen: names grain, names file, names filter.
3. Re-total the CSV against the prose. Record the miss when the filter is absent from the first screen.
4. Re-run with “put the exclusion in the first screen.” Score the same three checks.

## Source and goal

| Field | Value |
|---|---|
| Sources | One weekly fact table, about 13,800 order lines, plus a one-page definition note locking “contribution” and “test account” |
| Standing goal | Weekly contribution memo: SKU grain, last complete week, test accounts excluded, exceptions CSV, call on pricing |
| Contrast | Sounds-ready first screen vs meeting-ready memo |

## Results

| Retrieval state | Names grain | Names file | Names filter |
|---|---|---|---|
| Sounds-ready memo | 1 | 1 | 0 |
| Meeting-ready memo | 1 | 1 | 1 |

Wall-clock for the successful memo: 10 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when the first screen named grain, filter, and file together.

## What you may cite

- Artifact counts 1/1/0 → 1/1/1, ~13,800 order lines on this run, ~10 min wall-clock, run ID

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that OpenSearch / Prometheus / Jaeger / CNCF / Helm / Stanford / McKinsey / Gartner / NIST / OWASP / WAIC scored this run

Companion files: [aggregate CSV](https://infinisynapse.com/blog-media/markdown-analysis-memo/downloads/aggregate-ADR-MAM-20260825.csv) · [verify script](https://infinisynapse.com/blog-media/markdown-analysis-memo/downloads/verify-ADR-MAM-20260825.py). Last verified: 2026-08-29.

## Independent context (not this run)

- [OpenSearch latest docs](https://opensearch.org/docs/latest/) (retrieved 2026-08-29)
- [Prometheus overview](https://prometheus.io/docs/introduction/overview/) (retrieved 2026-08-29)
- [Jaeger documentation](https://www.jaegertracing.io/docs/) (retrieved 2026-08-29)
- [CNCF projects](https://www.cncf.io/projects/) (retrieved 2026-08-29)
- [Helm documentation](https://helm.sh/docs/) (retrieved 2026-08-29)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-29)
- [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) (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)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) (retrieved 2026-08-29)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/) (retrieved 2026-08-29)
- [W3C DCAT](https://www.w3.org/TR/vocab-dcat-3/) (retrieved 2026-08-29)
- [DataCite](https://datacite.org/) (retrieved 2026-08-29)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition) (self-described; not independently verified here)