What is Real Problem AI?

Real Problem AI is a curated directory of 100 real problems worth building an AI startup around. Each problem is scored honestly on severity, AI feasibility, market signal, and competition gap. We're for builders looking for what to build, not for ethics debates about AI.

What is the difference between Real Problem AI and AI ethics or AI risks indexes?

Real Problem AI catalogues problems AI can solve — productive, commercial opportunities for builders. AI ethics indexes catalogue problems with AI itself (bias, environmental cost, copyright, consciousness). Different intent, different audience: founders and indie hackers vs researchers and policy folks.

What should I build with AI in 2026?

Look for problems with high severity (it costs people hours, sleep, or revenue every week), high AI feasibility (LLMs, vision or voice are great at this today), strong market signal (Reddit threads + willingness to pay), and a clear competition gap (incumbents miss the same obvious thing). Real Problem AI scores 100 such problems for you on those four axes.

Where do Real Problem AI's startup ideas come from?

From three sources, scanned each cycle: 1) Reddit threads where people describe a real friction in their own words, 2) podcasts and talks of founders young builders trust (Nikhil Kamath, Aman Gupta, Ankur Warikoo, Raj Shamani, Andrej Karpathy, Greg Isenberg), and 3) a continuous 1,000+ source scan covering forums, app store reviews, regulator filings, and field interviews.

Is Real Problem AI free?

Yes. Browsing every problem, opening every score breakdown, raising your hand on a co-founder match, and the founder vault are all free. There is no paywall.

How is each problem scored?

Four axes, each 1-10, weighted: Problem Severity (30%), AI Feasibility (25%), Market Signal (25%), Competition Gap (20%). Weighted average is the Opportunity Score on each card. Only problems clearing 7.0+ make the live list.

Why do AI image and video tools charge full credits for a generation that fails or hallucinates?

Creative AI tools deduct credits the moment generation starts, so a failed render or a result that ignores the prompt still costs full price with no automatic refund.

Category: AI / Agents · Trend: Multimodal · Opportunity score: 6.8 / 10

What is the “Why do AI image and video tools charge full credits for a generation that fails or hallucinates?” problem in 2026?

Creative AI tools deduct credits the moment generation starts, so a failed render or a result that ignores the prompt still costs full price with no automatic refund.

Who has this problem?

Designers and marketers on metered credit plans for AI image/video generation.

Recorded source context

Dataset source note: Firefly is eating my credits but then something went wrong, no image generated, and credits gone. That's borderline dodgy, guys, please contact me ASAP.

This note may summarize the referenced material rather than quote it verbatim. Source label: Adobe Community bug-report and feature-request threads on Firefly credit deductions, 2026; Figma community forum thread on wasted AI credits. (reference).

Existing players in this space

Adobe Firefly support tickets: Manual refunds only after a user reports the failure and waits for support; no automatic detection of a failed or off-prompt generation.
Midjourney / Figma Make credit dashboards: Show a running credit balance, but do not distinguish a successful generation from a failed or hallucinated one before charging.

What existing players are missing

An output-verification layer that checks a generation actually completed and roughly matches the prompt or reference image before the credit charge is finalized, with an automatic credit-back on verified failure instead of a support ticket.

How Real Problem AI scores this opportunity

Aggregate score: 6.8 / 10. Four-axis rubric:

Problem severity: 6 / 10
AI feasibility today: 7 / 10
Market signal: 7 / 10
Competition gap: 7 / 10

How to build a solution: stack hints

Generation-result verification (CLIP-style prompt-image match)
Provider API credit-hold and confirm/release flow
Automatic refund trigger on verified failure
Usage dashboard with failed-vs-successful breakdown

Why this problem is archived

Trimmed to 100-cap (lowest opportunity_score)