The honest answer to “which AI tool should I use?” is usually “more than one.”
Each tool has a real strength and a real weakness. ChatGPT is flexible and quick. Claude is patient with long context and careful with reasoning. Perplexity backs claims with sources. Cursor and Claude Code edit code in your repo. Lovable spins up a UI. Gemini works inside Google's docs. None of them does all of these things well.
A real cross-AI workflow
Here's what a launch project might actually look like:
- Ideate in ChatGPT. Ten variants of the positioning, fast. Pick the two that don't sound generic.
- Research in Perplexity. Find out what competitors actually say. Pull citations.
- Draft in Claude. Long, structured argument. Keeps the tone consistent.
- Build in Cursor or Claude Code. Implement the changes.
- Polish in Lovable or v0. Tighten the page UI.
- Pressure-test in ChatGPT again. Final “what would a skeptic say” pass.
What breaks
Step three needs the citations from step two. Step four needs the decisions from step three. Step six needs to know what was claimed in step one. Without a place that remembers all of this, you copy-paste between tools and slowly lose the thread.
That copy-paste tax is the real cost of multi-AI work today.
Shelvia sits above the tools
Shelvia doesn't replace any of these tools. It sits above them. As you work, you import the parts that matter. a prompt that produced gold, a Perplexity citation, a decision you made. and Shelvia holds them in a project memory you can reuse.
When you start step four, you can copy a Context Pack from Shelvia into Cursor: a single paste with the project summary, active decisions, key sources, and the prompt that worked in step three. The next tool starts where the last one ended.
That is what continuity across AI tools looks like in practice.
