WTF (What The iF)

Note

All findings are based on self-reported information from the author. No external verification or historical data is available.

The description states that WTF (What The iF) is a web-based application designed to help users emotionally rehearse possible futures before making a decision. It uses AI to generate three visual stories representing different outcomes of a user's decision.

• The application asks users to describe:
  • A decision
  • Its context
  • Time horizon
  • Stakes

It then returns:

• The deeper tension behind the decision
• The most important uncertainty
• An observable signal the user should watch
• Three meaningfully different possible futures

Each future includes:

• Personalized reasoning
• Three live-action scene descriptions
• Cinematic concept reels with distinct visuals

When video generation is available, scenes are rendered via OpenAI Videos API; otherwise, local concept reels are used.

Claim

The product is described as turning decisions into three visual stories using AI.

Evidence Author's own write-up.

Inference This suggests a generative AI-driven storytelling tool focused on emotional and experiential decision support.

The project positions itself as an alternative to traditional pros/cons lists or advice-giving tools. It claims to help users "emotionally rehearse possible futures" by presenting them in cinematic form.

• The core idea is that seeing an ordinary day inside a possible future carries more weight than reading advice.
• It does not predict the future or tell users what to choose — instead, it makes hidden assumptions and tradeoffs visible.
• The author emphasizes that AI should support judgment, not replace it.

Claim

The product aims to improve decision clarity through visualization and emotional engagement.

Evidence Author's own write-up.

Inference This implies a niche positioning in the space of personal decision-making tools or AI-assisted life planning.

The description does not specify a defined target customer segment. However, it suggests that the tool is intended for individuals who are making important decisions and want to explore potential consequences emotionally and visually.

• The tool is designed for people who:
  • Are facing difficult or uncertain choices
  • Want to understand deeper tensions behind their decisions
  • Value visual storytelling as part of decision-making

Claim

The tool targets individuals seeking emotional clarity in personal decisions.

Evidence Author's own write-up.

Inference No explicit ICP defined; likely broad but emotionally driven users.

There is no evidence of a business model or pricing structure in the provided description. The project appears to be a prototype built for a hackathon.

Claim

No business model or pricing information is stated.

Evidence Author's own write-up.

Inference Likely non-commercial at this stage.

The application was built using:

• ASP.NET Framework 4.8.1 and MVC 5
• Microsoft SQL Server / LocalDB
• OpenAI Responses API with GPT-5.6
• Structured Outputs via JSON schema
• Optional OpenAI video generation
• Razor, CSS3, JavaScript
• Codex with GPT-5.6 Sol medium as development collaborator

Key technical features include:

• Structured output using strict JSON schema
• Session storage in SQL Server
• Support for asynchronous video rendering jobs
• Transparent fallback behavior when API quotas are exceeded
• Deployment-ready IIS web application

Claim

The tool uses structured AI outputs and integrates with OpenAI APIs.

Evidence Author's own write-up.

Inference Indicates a technical foundation suitable for future scaling, though no production deployment details are given.

There is no evidence of traction or adoption beyond the initial prototype. The project was submitted to a hackathon and has no stated user base, revenue, or usage metrics.

Claim

No traction or maturity signals are evident.

Evidence Author's own write-up.

Inference This is an early-stage concept with no commercial validation.

The description does not mention any competitors. However, the idea of AI-powered decision support and visual storytelling aligns with emerging trends in:

• Personalized AI assistants
• Decision-making platforms
• Generative media tools for emotional reflection

Claim

No competitive landscape is described.

Evidence Author's own write-up.

Inference Likely operates in a nascent or underserved segment of decision support tools.

• Unproven commercial viability: No evidence of traction, revenue, or user adoption.
• Limited scalability assumptions: Built for a hackathon prototype; no indication of production-ready infrastructure.
• Dependency on external APIs: Heavy reliance on OpenAI services with known quota limitations.
• Unclear monetization path: No business model or pricing strategy described.
• Lack of market validation: No evidence that users find value beyond the demo.

Claim

Risks include lack of traction, scalability concerns, and unclear monetization.

Evidence Author's own write-up.

Inference These are inferred from the absence of real-world usage or financial data.

1. What is the current status of the product beyond the hackathon prototype?
2. Have you conducted any user testing or feedback sessions with actual decision-makers?
3. How do you plan to scale beyond the current technical stack and API dependencies?
4. Is there a roadmap for monetization or commercialization?
5. What are your plans for handling API quota limitations in production?
6. Do you have any early adopters or pilot users?
7. How do you intend to differentiate from existing decision-support tools?

Claim

These questions aim to uncover real-world usage, scalability, and business viability.

Evidence Author's own write-up.

Inference These are necessary due to lack of evidence around adoption or commercialization.