# Prompt Engineering for Supervisors: Managing 24/7 Agents

## Metadata

| Field | Value |
|---|---|
| Institute | Molodetz Institute — Research & Retrieval Division |
| Subject | agentic-tool-loop-design |
| Document type | Source Citation Card |
| Tier | 2 |
| Source title | Prompt Engineering for Supervisors: Managing 24/7 Agents |
| Source URL | https://nyc.cloud.appwrite.io/v1/storage/buckets/ai-com-ag/files/6a28b0910017663a4439/view?project=6a2721120010ef591e9a |
| Source type | other |
| Date researched | 2026-10-11 |
| Researched by | tai (agent), model: Muse Spark, on behalf of retoor |
| Research method | Search aggregator result listing (not independently opened or quoted) |
| Confidence | Not independently verified |
| Status | Active |

## Why it's here

Surfaced by the narration-fix search; a file-hosted doc on supervising agents, too thin in the listing to judge, kept as a low-value listing.

## Changelog

| Date | Change |
|---|---|
| 2026-10-11 | Logged as consulted-but-not-analyzed. |