Friday, 2 January 2026

Why Solid Foundations Beat Beautiful Shortcuts: The AI Finance App Truth

Quick apps impress, but shortcuts deceive—one-prompt AI apps feel magical until your financial logic shatters on shaky foundations. Learn how vibe-coded solutions can fail and why checking the plumbing matters.

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One-Prompt AI Apps, Vibe Coding, and What My “Insurance Simulator” Taught Me

AI can build impressive one-click apps—but if you don’t inspect the foundations, your financial logic can quietly tilt.

The new “one-prompt app” culture There is a growing trend of typing one clever prompt into an AI tool and expecting a ready-made financial plan or app. It feels magical: explain the idea, wait a minute, and you have tables, charts, and “insights.”

Cursor CEO Michael Truell calls the programming version of this vibe coding—you describe what you want, let the AI write the code, and move on without checking the plumbing. His warning is stark: you might ship fast, but you are building on shaky foundations that can crumble under real-world complexity.

What I built with AI I recently used Gemini 3 to build a Health Insurance vs. Self-Insurance Simulator. I wanted to model a specific scenario: a retired couple in their 60s with a ₹3 Lakh floater policy and a complex health history.

The AI was brilliant at:

  • Scenario Modeling: Instantly creating "Best/Medium/Worst" cases over a 10-year horizon.

  • UI Design: Generating neat, color-coded summaries of SIP growth vs. premium costs.

  • Speed: Acting as a junior analyst to crunch years of medical inflation in seconds.

The Cracks Beneath the Surface However, "vibe coding" became dangerous when the AI had to make domain-specific decisions. Without human intervention, the AI:

  1. Misunderstood the "Floater" Concept: It treated a single family floater as two individual policies, effectively doubling the risk protection in its head—a catastrophic error in a real claim.

  2. Ignored the "Hard Cap": It initially assumed the insurer would pay the full bill, forgetting that coverage stops at the ₹3 Lakh Sum Insured.

  3. Used Generic "Vibes" for Risk: It guessed hospitalization probabilities for chronic patients using optimistic, generic data instead of actuarial realities.

Everything looked polished, but the financial reality was being distorted. As Truell says, things fall apart when you add "more floors" on top of unchecked logic.

Vibe-coded AI apps feel magical because they prioritize aesthetics over architecture. But when real money, health, or risk is on the line, you cannot afford shortcuts. The solution isn't rejecting AI—it's demanding transparency: logic before vibes, human expertise in the loop, and education over blind automation.

How to Use AI for Finance Safely If you are using AI to build or use "one-click" simulators—especially around money and health—keep these principles in mind:

  1. Logic over "Vibes": Don't just look at the chart; look at the formula. Ask the AI: "Show me the step-by-step math for Year 5."

  2. The "Expert-in-the-Loop": AI is a thought partner, not a verdict. It can show you what might happen, but an IRDA-licensed expert tells you how to handle insurance.

  3. The Goal is Literacy, Not Advice: These tools are educational simulators. They help us see trade-offs and understand complexity faster.

Disclaimer: This simulator is for educational and illustrative purposes only. It does not constitute insurance, investment, or legal advice. Insurance is a subject matter of solicitation. Always consult with a qualified IRDAI-licensed insurance broker and a SEBI-registered investment advisor before making changes to your protection or investment portfolio.


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