# Desk log CC-TWO-IDS-20260822

**Status:** First-party sanitized composite/demo; not raw, customer, source, benchmark, third-party, or Anthropic test data
**Page:** https://infinisynapse.com/en/blog/how-does-claude-code-work
**Run ID:** `CC-TWO-IDS-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 local Python client that left no shared artifacts, versus a matched-id run that wrote SQL, a memo, two charts, and a CSV into `/tasks` a colleague could open. Companions: [aggregate CSV](https://infinisynapse.com/blog-media/how-does-claude-code-work/downloads/aggregate-CC-TWO-IDS-20260822.csv) and [verify script](https://infinisynapse.com/blog-media/how-does-claude-code-work/downloads/verify-CC-TWO-IDS-20260822.py). It is **not** a named-logo customer case, a vendor bake-off, or an ENISA / EDPS / Data Act / Anthropic experiment.

## Six-step disclosure method

1. Create an API key in the task console. Store it in a local, gitignored env file.
2. Enable the Skill. Confirm `db ls` shows authorized sources.
3. From Claude Code, start one standing goal through `task new`. Copy the id from the CLI.
4. Open the same id in ALL TASKS. Confirm a teammate can download the memo, charts, and CSV.

## Source and goal

| Field | Value |
|---|---|
| Source | Read-only replica the desk is authorized to read |
| Goal asked twice | The same Friday experiment readout |
| Contrast | IDE only (local script) vs shared task (matched id) |

## Results

| Retrieval state | SQL | Memo | Chart | CSV |
|---|---|---|---|---|
| IDE only (local script) | 0 | 0 | 0 | 0 |
| Shared task (matched id) | 1 | 1 | 2 | 1 |

Wall-clock for the matched-id run: 22 minutes (warehouse time excluded).

## What you may cite

- Artifact counts 0/0/0/0 → 1/1/2/1, ~22 min wall-clock, run ID, colleague audit in `/tasks`

## What you may not claim

- Customer speedup %, official EEAT score, named-logo case, or that NIST / Stanford / Anthropic / WAIC scored this run

## External context (not validation of this run)

- [Anthropic Claude Code documentation](https://code.claude.com/docs/en) (retrieved 2026-08-28)
- [ENISA incident response](https://www.enisa.europa.eu/topics/incident-response) (retrieved 2026-08-28)
- [ENISA publications](https://www.enisa.europa.eu/publications) (retrieved 2026-08-28)
- [European Data Protection Supervisor](https://edps.europa.eu/) (retrieved 2026-08-28)
- [European data strategy](https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en) (retrieved 2026-08-28)
- [EU Data Act](https://digital-strategy.ec.europa.eu/en/policies/data-act) (retrieved 2026-08-28)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-28)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) (retrieved 2026-08-28)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/) (retrieved 2026-08-28)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition)

## Validation boundary

No independent third-party or media evaluation was known as of 2026-08-28. The aggregate CSV contains two observations and is not raw, customer, source, benchmark, or third-party data.