In this video we’ll build 3 app ideas (I started with 10….) generated with ChatGPT using Claude 3.5 Sonnet and Artifacts.
📚 Chapters:
00:00 – Introduction: Trying New App Ideas with AI
00:08 – Overview: Generating and Implementing App Ideas
00:34 – Strategy: Using CHPT for Idea Generation
01:06 – Implementation Plan: From Idea to Prototype
03:01 – Detailed Workflow: Iteration and Validation
04:05 – CHPT Prompt: Generating the First Round of Ideas
05:20 – Evaluation: Selecting Interesting Ideas
06:29 – Improving Prompts: Seeking Unique Educational Apps
07:08 – Final Selections: Choosing Three Ideas
09:36 – Starting Implementation: Habit Tracker App
11:17 – Troubleshooting: First Attempt with CLA 3.5 Sonet
18:08 – Refining the Approach: Improved Habit Tracker App
19:40 – Successful Prototype: Completing Habit Tracker
20:50 – Moving On: Interactive Timeline Creator
22:10 – Initial Implementation: Basic Timeline App
25:05 – Upgrading the App: Making it More Interactive
27:09 – Enhancements: Size Adjustment and Connectivity
31:22 – Finalizing the Timeline App: Simplifying the Interactions
36:11 – Last Idea: Flowchart from Bullet Points
37:29 – Addressing Issues: Network Troubles and Code Errors
38:46 – Basic Functionality: First Working Prototype
41:02 – Refinement: Color Coding and Flowchart Layout
45:31 – Final Adjustments: Improving User Experience and Completing the App
46:31 – Conclusion: Summary and Learnings from the Experiment
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source
date: 2024-07-28 21:13:19
duration: 00:46:35
author: UCu8WF59Scx9f3H1N_FgZUwQ
What a fascinating transcript!
The speaker, a 30-year-old Web 3 DeFi tech editor, is experimenting with using ChatGPT (CL PT) to generate app ideas and then building those ideas using tools like CL 3.5 Sonnet & Artifacts.
The speaker starts by brainstorming app ideas with CL PT, generating 10 initial ideas, of which they like two: a Habit Tracker app and an Interactive Timeline Creator. They then use CL 3.5 Sonnet & Artifacts to build a simple prototype for the Habit Tracker app, experimenting with different features and design elements.
The speaker notes that the process is not without its challenges, with occasional network issues and errors. However, they are encouraged by the potential of CL PT to generate innovative ideas and assist in the development process.
Here are some key takeaways from the transcript:
- ChatGPT’s potential in app development: The speaker sees CL PT as a tool that can assist in generating app ideas and even building simple prototypes with CL 3.5 Sonnet & Artifacts.
- Challenges in using CL PT: The transcript highlights the importance of a stable internet connection and the potential for errors, which can hinder the process.
- Experimentation and iteration: The speaker is open to experimenting and iterating on their ideas, recognizing that the process is not always linear and that mistakes can lead to new insights.
- The importance of feedback and guidance: The speaker values the importance of providing feedback and guidance to the CL PT model, such as by using specific language and examples to help it generate more accurate results.
Overall, this transcript provides valuable insights into the potential and challenges of using ChatGPT in the app development process.
