Tips for better results.
Your AI validation report is only as good as what you feed it. These practical tips help you write sharper inputs, choose the right report language, and read your viability score honestly — so every credit you spend goes further.
Back to DocsSix habits of a great report
Small changes to how you describe your idea make a big difference to the analysis you get back.
Write a sharp pitch
One or two plain sentences that say exactly what you're building and for whom.
- Lead with the who and the what
- Skip buzzwords and hype
- Name the product category
- Read it back — would a stranger get it?
Frame the problem
State the real pain you're solving, not a feature you want to ship.
- Describe who feels the pain today
- Say how they cope without you
- Quantify it if you can
- Keep problem and solution separate
Describe a concrete solution
Explain how your product actually removes that pain in practice.
- Show the before-and-after
- Name your unique value proposition
- Tie it back to the problem
- Avoid vague 'AI-powered platform' claims
Be specific about your market
A tight target audience produces sharper market sizing and competitor matches.
- Name the exact customer segment
- Note their willingness to pay
- Add your business model
- 'Everyone' is not a target market
Set your geographic focus
Regions steer the live web research toward the markets that matter to you.
- Pick launch countries or regions
- Local rules and pricing get surfaced
- Global is fine — just say so
- Match focus to where you'll sell first
List real competitors & keywords
Known rivals and search terms anchor the research in your actual space.
- Add competitors you already know
- Use the keywords buyers search for
- Include indirect alternatives
- Better inputs mean better cited sources
Build the evaluation form
A short, structured way to fill in the evaluation form so the AI has everything it needs.
Start with a one-line pitch
Say what you're building and who it's for in a single, clear sentence.
This is the frame the AI reasons from. A muddled pitch produces a muddled report, so make the first line count before you fill in the rest.
Separate the problem from the solution
Use the dedicated fields — don't blur the two together.
The problem field is the pain your customer feels. The solution field is how you fix it. Keeping them distinct helps the engine judge product-market fit honestly.
Add the market, model, and money details
Fill in target market, business model, revenue streams, and funding stage.
These drive the market sizing, monetization, and financial-viability sections. The more real detail you give, the more grounded and specific the analysis becomes.
Review before you spend a credit
Each evaluation uses one credit, so read your inputs back first.
A quick pass to fix vague wording or missing competitors pays off. The whole run takes about three minutes, and sharper inputs mean you won't need to run it again.
Do this, not that
The fields where specificity pays off most: your market and geography, your competitors and keywords.
Name a specific segment
Do: Freelance graphic designers in Western Europe
Avoid: Anyone who needs design
State the geographic focus
Do: Launching in France first, then the wider EU
Avoid: Leaving the region blank or writing 'global' by default
Add willingness to pay
Do: Teams already paying $20–50/mo for point tools
Avoid: No mention of budget or buying behavior
Give the business model
Do: Monthly SaaS subscription with a free tier
Avoid: Undecided or unstated revenue model
Write it for the right reader
Choose the report language that fits the people who'll actually read your validation report.
Three report languages
Generate the full report in English, Français, or العربية (Arabic) — pick per evaluation.
Match your audience
Choose the language of the investors, partners, or customers who'll read it.
Research follows your choice
The engine runs its live web research and writes the report in the language you select.
Set it in the form
Use the Report Language picker on the evaluation form — it's independent of the app's UI language.
Interpret your verdict honestly
Every report gives a 0–100 viability score and a verdict. Here's how to read each band without over- or under-reacting.
Strong potential · 80+
The idea shows real promise across market, feasibility, and finances. Use the recommendations to sharpen it, not to skip diligence.
Promising · 60–79
A solid foundation with clear gaps. Read the SWOT and viability breakdown to see exactly what to strengthen next.
Needs work · 40–59
Meaningful risks are outweighing the upside. Treat the barriers and next-steps sections as your to-do list before pushing ahead.
High risk · below 40
The analysis found serious obstacles. Don't take it as a verdict — take it as feedback, then refine the idea and re-run.
Ready to put these tips to work?
Start a fresh AI evaluation with sharper inputs — one credit, about three minutes, a full report plus a 15+ page PDF.