AI Tools Collection

Best for: Thinking through ideas, writing clearer notes, and getting unstuck while learning.

How I use it: I use it as my main thinking partner for project planning, explanations, drafts, and small coding questions.

Lesson learned: The better I explain what I am trying to build, the more useful the answer becomes.

Best for: Comparing AI answers and getting another angle on research, writing, and product ideas.

How I use it: I use it alongside ChatGPT when I want a second perspective or a different explanation.

Lesson learned: Different models can surface different assumptions, which helps me question my first draft.

Best for: Testing prompts and learning how AI app building works at a more hands-on level.

How I use it: I use it to explore model behavior, try prompt ideas, and understand the gap between chat and product.

Lesson learned: Small experiments are easier to learn from than trying to design a complete AI product all at once.

Best for: Saving code, tracking progress, and keeping a visible history of what I am building.

How I use it: I use it as the source of truth for small projects, experiments, and learning milestones.

Lesson learned: A project feels more real once it is in a repo and the progress is visible.

Best for: Following builders, sharing progress, and learning from what people are making in public.

How I use it: I use it to observe AI builder workflows, collect ideas, and document pieces of my own journey.

Lesson learned: Documenting small steps makes the learning process easier to continue.

Best for: Publishing small web projects quickly and turning local work into something shareable.

How I use it: I use it to deploy Next.js projects and check how my work feels outside the local environment.

Lesson learned: Shipping a small version teaches more than waiting for a perfect version.