I WASTED Two Weeks to build an AI app for students

2026-02-26 · Source: Deep Learning on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

The author recounts a two-week period spent attempting to develop a large-scale AI application aimed at helping students learn faster. Initially driven by the desire to build something "BIG" and "cool," the project quickly became complex and misaligned with its core objective. A friend's intervention prompted a realization that the focus had shifted from providing actual value to students to merely creating an impressive-looking app. With school resuming shortly, the author pivoted from the ambitious AI app development to a simpler, more sustainable approach: starting a YouTube channel to teach challenging courses, recognizing the need for a practical solution over an elaborate one.

Key takeaway

For AI Product Managers evaluating new project initiatives, you should prioritize delivering tangible value through simple, sustainable solutions over building complex, "cool" applications. Your focus should be on the core problem you are solving and the most direct path to impact, rather than getting sidetracked by technological grandeur. Consider starting with a minimal viable product (MVP) that can be easily implemented and sustained, then iterate based on user feedback.

Key insights

Prioritize simple, sustainable value delivery over complex, impressive-looking solutions.

Principles

• Start simple, then scale.
• Focus on core value.
• Avoid scope creep.

In practice

• Validate project scope early.
• Choose sustainable platforms.
• Pivot to simpler solutions.

Topics

• AI Application Development
• Product Development Strategy
• Educational Technology
• Minimum Viable Product
• Project Management

Best for: AI Product Manager, Entrepreneur, Product Manager, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by Deep Learning on Medium.