How to Set Up Your AI Stack: ChatGPT, Claude, Perplexity, Gemini, and Cursor
- Patrick Frank
- Aug 31
- 8 min read
Most founders do not need five AI tools. I’d start with three tools for three jobs: one for drafting, one for deep writing, and one for live research. Then I’d add Google Workspace help or coding help only if the work shows a clear gap.
Here’s the short version:
ChatGPT: first drafts, brainstorming, and repeat tasks
Claude: long documents, analysis, and polished writing
Perplexity: web research, citations, and fact checks
Gemini: Gmail, Docs, Sheets, and Slides work
Cursor: code, automations, and internal tools
The main idea is simple: give each tool one job. That cuts tool switching, trims wasted spend, and makes handoffs easier for a team. For many people, a 3-tool setup is enough. The 5-tool setup fits teams that work in Google Workspace and also ship code or internal systems.
The Only AI Tools You Need
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Quick Comparison
Tool | Main Job | Best Fit |
ChatGPT | Drafts and ideas | Solo founders, marketers, general work |
Claude | Long writing and analysis | Memos, reports, plans |
Perplexity | Sourced research | Market checks, news, fact finding |
Gemini | Google Workspace work | Gmail, Docs, Sheets, Slides |
Cursor | Code and automations | Product teams, builders, internal apps |
If I were setting this up today, on September 1, 2026, I’d use one fixed flow: Perplexity → Claude → ChatGPT → Gemini → Cursor. Research first. Then thinking. Then drafts. Then workspace execution. Then code.
That’s the full play in one view. The rest is just picking the smallest setup that matches how you work.
Choose the Right Stack With a Simple Decision Framework
Use the smallest stack that fits the work. That's the main idea here. Each tool should have a clear job, and the stack should match what your team does every day.
Match each tool to a core business job
Each tool in this stack has its own lane. ChatGPT handles drafting, brainstorming, and quick summaries. Claude is best for long-form analysis, strategy memos, and structured writing. Perplexity is the tool for sourced research and live web data. Gemini fits Docs, Gmail, and routine Google Workspace admin. Cursor is for code, automations, and internal tools.
Once those roles are clear, pick the smallest stack that covers your day-to-day workflow. Simple beats bloated.
When a three-tool stack is enough and when all five make sense
Your stack size should match your actual workflow, not your ambition. For most solo founders and non-technical teams, ChatGPT, Claude, and Perplexity cover routine work well. That's a smart place to start. Add more specialized tools only when the work calls for them.
The full five-tool stack makes more sense when your team lives in Google Workspace and someone is building or maintaining technical systems. Technical startups and product-led teams tend to get the most from all five.
Stack | Tools | Best For |
The Lean Three | ChatGPT, Claude, Perplexity | Solo founders, marketers, general operators |
The Technical Five | ChatGPT, Claude, Perplexity, Gemini, Cursor | Technical startups, product-led teams, scaling ops |
Where Patrick Frank fits into the setup
Picking tools is the easy part. The harder part is tying those choices to real workflows, clear handoffs, and a rollout plan the team can follow. That's where implementation discipline decides whether the stack creates leverage or just adds more software.
After you choose the stack, set up each tool for daily business use so the workflow stays connected.
Set Up Each Tool for Daily Business Use
Set up each tool so you can use it on day one, not after a week of tinkering.
Use ChatGPT for fast drafts and Claude for deeper synthesis. In ChatGPT, fill out Custom Instructions with your brand voice, business context, and preferred output format. That way, the tool keeps the same context across sessions instead of making you repeat yourself every time.
In Claude, use the Projects feature to upload context you want it to keep in mind, like strategy docs, SOPs, or investor update templates. The goal is simple: the model should already know your standards before you type a single prompt.
A practical workflow looks like this: start in ChatGPT for the first draft, then move to Claude for the final pass. Use the tool that fits the job, not the one you happen to like more.
After a good session, ask the AI: "Based on my prompts in this chat, create a starter prompt I can use next time to get to this quality of output faster." Save that prompt as a reusable template inside a Custom GPT or Claude Project for repeat work like monthly investor updates.
If the draft needs live facts, move it into the research step next.
Perplexity and Gemini for research and Google Workspace execution
Use Perplexity for sourced research, live web data, and fact checks. Then, if your team works inside Gmail, Docs, Sheets, and Slides, use Gemini for the admin tasks that tend to eat up the day: summarizing long email threads, drafting meeting pre-work, and formatting spreadsheet data.
A simple handoff works well here. Use Perplexity to verify the facts, then move that material into Gemini to draft the email, doc, or spreadsheet inside Google Workspace. Gemini 2.5 Flash works well for high-volume, low-cost admin work like normalizing names or job titles across a large dataset.
If that work starts turning into code or a repeatable internal workflow, shift it into Cursor.
Cursor for code, automations, and internal AI tools
Use Cursor when the output needs to become working code, not just a document. Cursor is an AI-first code editor.
The fastest way to start is to install Cursor and create a .cursorrules file that spells out your tech stack, preferred libraries, and coding style. Think of it like custom instructions for your codebase. The AI won’t need the same setup notes in every session. Use Composer to make multi-file changes from plain-English instructions ( on Mac, on Windows).
If you’re a non-technical founder, keep the work in small chunks. Build the API connection first. Make sure it works. Then build the UI. Before you apply changes, review the diff, especially for missing imports or cut-off functions.
Run the Stack as One Workflow, Not Five Separate Tools
Treat the stack like one workflow, not five random apps. Set a fixed order and stick to it. When each tool has one clear job, work moves with less friction and people spend less time guessing what goes where.
A clear handoff model from research to implementation
The sequence is: Perplexity → Claude → ChatGPT → Gemini → Cursor. Perplexity goes first for live web data, sourced facts, and competitor tracking. Then Claude takes that research and shapes it into a strategy doc or decision memo. ChatGPT turns that strategy into drafts, SOPs, or email sequences. Gemini moves finished work into Docs, Sheets, or Gmail. Cursor finishes the process when the output needs to become working code or a repeatable automation.
That flow works because each step does one thing well. Research comes first. Then thinking. Then writing. Then execution inside Google Workspace. Then code.
"Cold email used to be art, now it's a relay race between the right LLMs." - Samy Barbier
Set simple rules for prompts, files, and team ownership
Give each project a shared folder so research, strategy, and drafts are easy to find. Build a shared prompt library your team can reuse for recurring work, like weekly reports or standardizing names and job titles in a large dataset. If everyone uses the same prompt for the same task, outputs stay more consistent.
In Cursor, use the symbol to point to specific files directly. For bigger technical changes, split the work into smaller modules and run tests after each change. If the task touches security or authentication, a human should review every line before it ships. Once work becomes repeatable or technical, move it into Cursor.
Use the stack inside a 30-, 60-, or 90-day rollout
A phased rollout helps teams build habits without dumping too much change on them at once.
Days 1–30: Start with ChatGPT for drafting and Perplexity for source-backed research. This is the base.
Days 31–60: Add Claude for complex reasoning and Gemini for Google Workspace execution. Standardize the Perplexity → Claude → ChatGPT handoff for recurring deliverables.
Days 61–90: Add automation and custom builds through Cursor. By then, you know which workflows are worth automating because you've already run them by hand.
Teams that finish all three phases tend to build durable habits faster than teams that try to roll out all five tools at once. After the workflow is stable, compare roles and remove overlap.
Compare Roles, Remove Overlap, and Build Your Final Stack
Once your workflow is set, this is where you make the stack cleaner. The goal is simple: give each tool one default role and cut overlap.
Capabilities and limitations by tool
Each tool should have a main job. The table below shows where each one stands out and where it starts to fall short.
Tool | Best Use Cases | Strengths | Limitations |
ChatGPT | Brainstorming, quick summaries, repetitive tasks | Fast, multimodal (voice/image), large tool ecosystem | Can sound generic; less reasoning depth than Claude |
Claude | Complex writing, strategy docs, long-form analysis | More natural prose, 128k+ context window, strong reasoning | Usage-based costs can add up for heavy users |
Perplexity | Competitor tracking, live news, sourced facts | Real-time web access with citations | Limited for creative writing or coding |
Gemini | Google Docs/Gmail automation, Docs and Slides output | Native Google integration, fast, low-cost model | Weaker on technical reasoning than frontier models |
Cursor | Multi-file refactoring, building internal tools | IDE-native, multi-file edits, Git integration | Requires adopting a separate editor |
If two tools do almost the same thing, pick one as the default and move on. Constant switching slows people down, and duplicate subscriptions waste money. A lean stack usually works better than a crowded one.
Recommended stacks for common founder scenarios
After each tool has a clear job, line the stack up with the kind of work your team does every day.
Scenario | Core Tools | Optional Tools |
Solo Founder | ChatGPT, Perplexity | Claude |
Operations Lead | Gemini, Claude | ChatGPT |
Technical Team | Cursor, Claude | - |
GTM Team | Claude, Perplexity | ChatGPT |
Conclusion: The simplest stack that covers your real work
Start with the smallest set of tools that covers your actual work: research, writing, operations, and implementation. Add another tool only when there's a clear gap. The best stack is the one your team uses every day without overthinking it.
FAQs
How do I know which three tools to start with?
Start by listing the five AI tasks you use most often, like brainstorming, refining ideas, summarizing research, or handling technical work. Then pick tools that fix clear workflow bottlenecks, not tools that just pile on extra features.
It also helps to test the same task across a few tools before you commit. That gives you a clean side-by-side view of what actually fits your needs and how you like to work. For example, you might prefer Cursor for coding, Claude for long-form analysis, or Perplexity for fast source discovery.
When should I add Gemini or Cursor to my stack?
Add Gemini when your workflow is closely tied to Google tools like Gmail, Google Docs, Search, or YouTube. It also makes sense for high-volume research or background work when you want a fast, lower-cost model.
Use it in Cursor as a model option for tasks that play to those strengths. Gemini is also a good fit for lightweight admin cleanup, like normalizing names or titles.
How can my team avoid overlap between these tools?
Avoid overlap by giving each tool a clear role instead of treating them like they all do the same job. The simplest way to think about your AI stack is as a team: each tool should take on the work it handles best.
Perplexity: research and sourced answers
Gemini: Gmail, Docs, and other Google tasks
Claude: deep analysis and long-form writing
ChatGPT: brainstorming, drafting, and daily workflows
Cursor: coding and technical implementation
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