---
id: "framework-ideal-agent-target"
type: "framework"
source_timestamps: ["00:07:58", "00:08:08"]
tags: ["use-case-discovery", "strategy"]
related: ["action-pick-weekly-job"]
steps_count: 4
sources: ["s06-openai-free-employee"]
sourceVaultSlug: "s06-openai-free-employee"
originDay: 6
---
# Ideal Use-Case Shape for First Agents

## Purpose

A strict filter for selecting a workflow that is highly likely to succeed as a first-time [[concept-workspace-agents|Workspace Agent]] build. It filters out ambiguous, strategic tasks in favor of high-cadence, coordination-heavy processes.

## The Four Checks

1. **Cadence Check** — Ensure the job repeats frequently (weekly, daily, or hourly).
2. **Systems Check** — Verify the workflow crosses at least 2 or 3 different tools/systems.
3. **Output Check** — Confirm the output has a crystal-clear, objective standard for 'good' versus 'bad' that is easy for a human to judge.
4. **Path Check** — Ensure the steps to complete the task are known, stable, and can be described in a single paragraph.

## Why This Filter Works

It eliminates the failure modes flagged in [[claim-avoid-automating-judgment]] and [[contrarian-agents-not-for-strategy]] — ambiguous, unknown-path, subjective tasks. It pairs directly with [[quote-known-path]]: 'If the path is known, it gets really interesting...'

## Operationalization

See [[action-pick-weekly-job]] for the concrete first-build target: a 5–6 hour weekly task that passes all four checks.