Prompt Details
Model
Chat - (gpt-5.6)
Token size
2,746
Example input
[AUDIENCE_CONTEXT]: Platform: YouTube Niche: Practical AI tools and productivity Audience: 8,500 subscribers Content: Tutorials, tool comparisons, and workflow videos Email list: 1,200 subscribers Current paid products: None
[DEMAND_SIGNALS]: Viewers repeatedly ask: - Can you share the prompts used in your videos? - Which AI tools are worth paying for? - Can you show the complete workflow? - Do you have a beginner setup? Workflow tutorials usually receive more comments than general AI-news videos. No product-purchase data exists yet.
[CREATOR_ASSETS]: 40+ AI tutorials Personal prompt library Several workflow diagrams Email list Existing tutorial scripts No course
[PRODUCT_PREFERENCES]: Prefer a downloadable digital product. Would like to reuse existing material. Do not want a membership or full course. Interested in prompts, workflow guides, and beginner resources.
[VALIDATION_CONSTRAINTS]: Available time: 5 hours per week. Budget: Under $100. Must be testable within two weeks. Do not make income promises. Prefer testing demand before completing the full product.
Example output
1. DEMAND SNAPSHOT
Audience:
YouTube viewers interested in practical AI tools and workflows.
Niche:
AI productivity.
Current audience access:
8,500 YouTube subscribers plus 1,200 email subscribers.
Strongest observed need:
Reusable prompts and complete workflow resources.
Existing assets:
Tutorials, prompt library, workflow diagrams, scripts.
Preferred product model:
Downloadable one-time product.
Main validation constraint:
Five hours per week and under $100.
2. DEMAND SIGNAL MAP
Signal:
Repeated requests for prompts.
Type:
Direct signal
Possible need:
Reusable prompts connected to practical workflows.
Strength:
High relative to supplied evidence.
What it proves:
The resource itself is repeatedly requested.
What it does not prove:
That viewers will pay for it.
Signal:
Workflow videos receive more comments than AI-news videos.
Type:
Behavioural signal
Possible need:
Practical implementation content.
Strength:
Moderate.
What it proves:
Workflow content creates stronger discussion.
What it does not prove:
Purchase intent.
3. AUDIENCE PROBLEM CLUSTERS
Problem 1:
People understand individual AI tools but struggle to combine them into practical workflows.
Problem 2:
Viewers repeatedly want access to prompts demonstrated in videos.
Problem 3:
Beginners want help narrowing down which tools and workflows to start with.
4. DIGITAL PRODUCT HYPOTHESES
Product 1:
AI Workflow Starter Toolkit
Buyer:
Beginner-to-intermediate AI users.
Problem:
Knowing which tools, prompts, and steps belong together.
Outcome:
Follow a small set of structured workflows using reusable prompts.
Evidence:
Repeated workflow and prompt requests.
Assets:
Existing prompts and workflow diagrams.
Product 2:
Creator Prompt Library
Problem:
Viewers request the exact prompts used in videos.
Strength:
Strong direct request signal.
Weakness:
May be perceived as information that could be provided free.
Product 3:
Beginner AI Tool Decision Guide
Problem:
Users ask which tools are worth using.
Strength:
Repeated questions.
Weakness:
Information may become outdated quickly.
5. VALIDATION SCORECARD
Product | Problem Evidence | Request Frequency | Buyer Specificity | Outcome Clarity | Creator Fit | Asset Leverage | Speed to Validate | Build Ease | Support Ease | Differentiation | Total
AI Workflow Starter Toolkit | 9 | 9 | 8 | 9 | 10 | 10 | 9 | 9 | 9 | 8 | 90
Prompt Library | 9 | 9 | 8 | 8 | 10 | 10 | 10 | 10 | 10 | 6 | 90
Beginner Tool Guide | 8 | 8 | 8 | 8 | 9 | 8 | 9 | 8 | 9 | 6 | 81
6. PRIORITY DECISION
Primary candidate:
AI Workflow Starter Toolkit
Why:
It combines two strong audience signals—workflow interest and prompt requests—into one product with a clearer practical outcome than a standalone prompt library.
Secondary candidate:
Prompt Library
Why:
It is extremely easy to test but may have weaker differentiation.
Not now:
Large AI course
Why:
No evidence currently justifies the additional production effort.
7. MINIMUM VIABLE PRODUCT
Working name:
AI Workflow Starter Toolkit
Buyer:
AI beginners who want practical workflows.
Problem:
Knowing how to combine tools and prompts into repeatable tasks.
Outcome:
Follow selected AI workflows using a clear diagram and reusable prompts.
Included:
- 5 workflow diagrams
- associated prompts
- short setup notes
- links to related existing tutorials
Excluded:
- full video course
- community
- live coaching
- large prompt library
Format:
PDF plus editable prompt document.
Assets reused:
Existing diagrams, prompts, tutorial content.
New work:
Organisation, formatting, short instructions.
Main assumption:
People value organised implementation material enough to pay rather than relying only on free videos.
8. PRODUCT POSITIONING
One-sentence positioning:
A practical starter toolkit that turns selected AI tutorials into reusable workflows and prompts.
Who it is for:
People who want implementation help rather than more AI news.
Why this format:
The creator already has the required source material.
Main benefit:
Makes existing workflows easier to follow and reuse.
Claims to avoid:
Productivity gains that have not been measured.
9. VALIDATION EXPERIMENT CARD
Hypothesis:
People who repeatedly request prompts and workflows will show meaningful intent toward an organised paid toolkit.
Test:
Create a simple preview page showing one workflow and the planned contents of the toolkit.
Audience:
Relevant YouTube viewers and email subscribers.
Channel:
YouTube description/community content and email.
Required assets:
Mock-up, sample workflow, short offer description, interest or early-access form.
Primary signal:
Meaningful opt-ins or paid early-access behaviour.
Secondary signal:
Direct questions about availability, contents, and format.
Does not count as proof:
Views, likes, or positive comments alone.
Continue when:
People take a meaningful action indicating interest in obtaining the complete resource.
Revise when:
Interest exists but users repeatedly request a different scope or format.
Stop when:
The relevant audience repeatedly encounters the offer but shows little meaningful intent.
10. PRICE TEST DIRECTION
Pricing approach:
Low-friction one-time product.
Possible testing options:
Test a compact starter version against a larger bundle.
What should influence price:
Depth, usability, number of workflows, uniqueness, and audience response.
What evidence is missing:
Actual willingness to pay.
11. OBJECTION CHECK
Possible objection:
“I can get prompts for free.”
Response:
Emphasise organisation, workflow context, and reusable structure rather than prompt quantity.
Possible objection:
“This will become outdated.”
Response:
Focus on durable workflow principles and clearly identify tool-dependent elements.
Possible objection:
“I already know these tools.”
Response:
Position for users seeking complete workflows rather than tool introductions.
12. 14-DAY VALIDATION SPRINT
Days 1–3
Goal:
Define the smallest toolkit.
Actions:
Select five existing workflows and group repeated audience questions.
Days 4–6
Goal:
Create the test assets.
Actions:
Prepare one sample workflow, product outline, and simple landing page.
Days 7–10
Goal:
Expose the hypothesis.
Actions:
Show the preview to relevant YouTube and email audiences.
Days 11–14
Goal:
Evaluate evidence.
Actions:
Review meaningful actions, questions, objections, and format preferences.
Final decision:
Continue, narrow, reposition, or deprioritise.
13. EVIDENCE GAPS
- No purchase data.
- No direct willingness-to-pay evidence.
- Unknown preference between prompts alone and complete workflows.
- Unknown preferred product size.
14. NEXT MOVE
Strong validation:
Build the smallest complete toolkit.
Mixed:
Reduce scope or reposition around the strongest requested workflow.
Weak:
Do not expand into a larger course or library.
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GPT-5.6
Turn audience questions, content signals, expertise, and existing assets into evidence-based digital product experiments. Generates product hypotheses, scores demand evidence and build effort, selects the strongest candidate, defines a minimum viable product, creates a low-cost validation test, identifies missing evidence, and provides clear continue, revise, or stop decision rules before you build too much.
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Updated 2 weeks ago
