# Desk log FLF-LFA-20260822

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/local-files-to-ai-data-analyst  
**Run ID:** `FLF-LFA-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 forwarding an emailed FYI zip versus authorizing a sanitized laptop folder as My Data. It is **not** a named-logo customer case, a vendor bake-off, or an NSF / DARPA / ACM experiment.

## Four-step method (reproducible)

1. Sanitize leftover email columns on the laptop. Register path, format, owner, and grain.
2. Upload the dated folder you will re-select. Do not also leave the email CSV selected.
3. Ask one goal: return rate by SKU for the last six weeks, exclude SKUs in only one week.
4. Open which path was selected and reconcile row counts to the desktop inventory. Re-ask from a clean seat.

## Source and goal

| Field | Value |
|---|---|
| Sources | Twelve weekly parquet parts (~4.2 million rows) plus the leftover email CSV |
| Standing goal | Return rate by SKU for the last six weeks, exclude SKUs in only one week |
| Contrast | Forward the zip vs My Data source |

## Results

| Retrieval state | Sanitized on laptop | One source selected | Row counts reconciled |
|---|---|---|---|
| Forward the zip | 0 | 0 | 0 |
| My Data source | 1 | 1 | 1 |

Wall-clock for the successful source rerun: 10 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when the sanitized folder and the leftover CSV sat side by side with one source selected and the row-count note open.

## What you may cite

- Artifact counts 0/0/0 → 1/1/1, 12 weekly laptop parts + ~4.2M rows on this run, ~10 min wall-clock, run ID

## What you may not claim

- Customer uplift %, a faster paste, official EEAT score, named-logo case, or that NSF / DARPA / ACM / Science / Gartner / WAIC scored this run

## Independent context (not this run)

- [NSF data-management plan](https://www.nsf.gov/bfa/dias/policy/dmp.jsp) (retrieved 2026-08-29)
- [DARPA Open Catalog](https://opencatalog.darpa.mil/) (retrieved 2026-08-29)
- [DOE open data](https://www.energy.gov/data) (retrieved 2026-08-29)
- [data.gov](https://data.gov/) (retrieved 2026-08-29)
- [NIH data sharing](https://sharing.nih.gov/) (retrieved 2026-08-29)
- [NASA open data](https://data.nasa.gov/) (retrieved 2026-08-29)
- [DataCite](https://datacite.org/) (retrieved 2026-08-29)
- [W3C DCAT](https://www.w3.org/TR/vocab-dcat-3/) (retrieved 2026-08-29)
- [ACM Artifact Review and Badging](https://www.acm.org/publications/policies/artifact-review-and-badging-current) (retrieved 2026-08-29)
- [Science journal data policies](https://www.science.org/content/page/science-journals-editorial-policies) (retrieved 2026-08-29)
- [Nature reporting standards](https://www.nature.com/nature-portfolio/editorial-policies/reporting-standards) (retrieved 2026-08-29)
- [GO FAIR principles](https://www.go-fair.org/fair-principles/) (retrieved 2026-08-29)
- [ISO/IEC 27017](https://www.iso.org/standard/43757.html) (retrieved 2026-08-29)
- First-party homepage recognition only (self-described; not independently verified here): [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition)

## Machine-readable aggregate

- [aggregate-FLF-LFA-20260822.csv](./aggregate-FLF-LFA-20260822.csv)
- [verify-FLF-LFA-20260822.py](./verify-FLF-LFA-20260822.py)