# Canonical NotFair workflow Human Guide

## What This Is For
Plan and review TikTok Ads creative experiments with measurement, rights, and conversion guardrails. It gives the agent a clearer input/output frame for social content: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Canonical NotFair workflow agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for canonical NotFair workflow.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the Canonical NotFair workflow guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Frame the work around canonical NotFair workflow and ask for the context needed to do it well.
- Turn vague preferences into explicit choices before drafting the final output.
- Ask for a concrete deliverable, not just general advice.

## Decision Points And Nuance
The original skill emphasizes: Supporting file: paid-ads/paid-ads-tiktok/SKILL.md, Make the first seconds testable, Operator handoff.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Starting without a clear audience or goal.
- Asking for a final artifact before sharing examples or constraints.
- Accepting a generic first draft without checking it against the intended use.

## Copy-And-Paste Prompt
```text
Use the Canonical NotFair workflow human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the nowork-studio/notfair-plugin skill entry for `paid-ads-tiktok`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# Canonical NotFair workflow

Read [`../../paid-ads/paid-ads-tiktok/SKILL.md`](../../paid-ads/paid-ads-tiktok/SKILL.md) completely, then follow it as the active workflow. Resolve every relative reference from that file against `../../paid-ads/paid-ads-tiktok/`.

---

## Supporting file: paid-ads/paid-ads-tiktok/SKILL.md

# TikTok Ads Planning

Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`. This plugin does not declare a first-party NotFair TikTok MCP mutation surface; plan and review from verified source material only.

## Make the first seconds testable

Define the conversion event, measurement owner, destination, and approved offer before writing creative. Build concepts around a distinct first-second hook, product demonstration or proof, native-format production direction, CTA, and placement-safe crop. Verify creator rights, music licensing, testimonials, and price/result claims; label unknown proof `needs_substantiation`.

Use a small slate of genuinely different hooks or formats. Each includes the audience hypothesis, creative variable, primary metric, guardrail, expected exposure, review date, and what result would retire the concept. Do not treat views or CTR as a conversion win without the named downstream measure.

## Operator handoff

Give the human operator an exact launch brief: objective, budget in account currency, targeting logic, exclusions, event/pixel requirements to validate in the current platform UI, creative files needed, and status. Do not invent TikTok settings, eligibility, budget floors, or publication confirmation without a current verified source.