home/career/ai-workflow-plan

ai Workflow Plan

GPTClaudeGemini··870 copies·updated 2026-07-14
ai-workflow-plan.prompt
# 05 AI Workflow Plan

## Purpose

Use this after the operating profile and memory cleanup to turn context into practical, repeatable AI workflows.

## Prompt

Now turn this context audit into a practical AI workflow plan.

Identify the highest-leverage ways ChatGPT should help me across:

- Strategy and planning
- Sales, GTM, fundraising, or finance, if relevant
- Team, collaborators, hiring, or management, if relevant
- Product, operations, study, creative work, or delivery
- Writing and communication
- Research and decision support
- Personal productivity
- Health, fitness, travel, household, or personal planning, if relevant

For each area, give me:

1. Recommended use case
2. Why it matters
3. Example prompt I should reuse
4. Inputs ChatGPT would need from me
5. Output format I should ask for
6. Risk or failure mode
7. How often I should run it

Then create a scoring table for the final top 10 workflows with these columns:

1. Workflow
2. Usefulness: 1-5
3. Leverage: 1-5
4. Effort required from user: 1-5, where 1 is low effort and 5 is high effort
5. Risk if done poorly: 1-5
6. Repeatability: 1-5
7. Context required: low / medium / high
8. Recommended cadence

Then give me a final ranked list.

Prioritize workflows with high usefulness, high leverage, high repeatability, manageable effort, clear input requirements, and low risk of stale-context mistakes.

## Expected output

- A practical workflow library
- Reusable prompts
- Required inputs for each workflow
- Output formats
- Risks and run cadence
- A top 10 scoring table
- A final ranked list

## Failure modes

- Producing abstract use cases with no reusable prompts
- Ignoring risks and failure modes
- Recommending workflows that depend on stale context
- Overfitting to one role or current project

when to use it

Community prompt sourced from the open-source GitHub repo brandoncarneiro/context-lab (MIT). A "ai Workflow Plan" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

careercommunitygeneral

source

brandoncarneiro/context-lab · MIT