aiDex for Founders: A Strategy Table That Pushes Back
Seat a panel of AI models around your hardest call and make one of them argue against it.
TL;DR
Founders make high-stakes calls without a board or a co-founder in the room to push back. A strategy table in aiDex seats several AI models around the same decision, then makes one argue the other side so the weak assumption shows up before you commit. Use Compare for divergent takes, Judge to stress-test them, and Pipeline to turn the result into a memo.
Why do founders need an AI that pushes back?
Because a single chatbot tends to agree with you, and agreement is the last thing a founder needs before a big call. Most founders decide without a board on speed dial or a co-founder free to play devil's advocate. Ask one model in a normal chat whether to raise now, and it will usually validate your framing and list the reasons you are already right. A strategy table fixes that by putting several models on the same question and assigning one of them to disagree. Open aiDex, and the panel becomes the room of skeptics you do not have yet.
How do I set up a strategy table?
Open aiDex, pick three models you trust, and put them in Compare. A typical panel is Claude Opus 4.8, GPT-5.4, and Gemini 3.1 Pro, but the point is range, not brand. Paste the decision and the real constraints in plain language: runway in months, current revenue, the offer actually on the table. Each model answers independently, so you get three lines of reasoning instead of one averaged-out blur. Drop the supporting files into the chat (DOCX, PDF, MD, txt) and every model in the panel reads them. Use your own provider keys or the ones we manage, and pick the models you want.
How do I make the models actually disagree?
Switch to Judge and prompt for a skeptic. Tell one model to argue the opposite of the leading recommendation and to name the single assumption that, if wrong, sinks the whole plan. Judge then ranks the cases and shows its reasoning, so you read the dissent instead of only the popular answer. Pin a lightweight model as a moderator to keep speaking order and hold costs down while the heavier models do the arguing. The goal is not to find the model that agrees with you fastest; it is to find the objection you would have missed.
Which founder decisions is this best for?
Reversible-but-expensive calls where you lack a second opinion: a pricing change, a senior hire, fundraise timing, a pivot, or which segment to chase first. A quick way to triage:
| Decision | Mode to start in | What you want out |
|---|---|---|
| Pricing change | Compare | Three independent reads on elasticity and signal |
| Key hire | Judge | The case against the front-runner |
| Fundraise timing | Compare then Judge | Divergent takes, then a stress test |
| Pivot or stay | Team | A standing panel you reopen as data changes |
For a one-off meeting structure, run a strategy table end to end; this guide is about making it argue.
How do I turn the verdict into something I can act on?
Use Pipeline: have the panel Draft a one-page decision memo, Critique it for weak logic, Revise, and Polish. You leave with the decision, the dissent, and the assumption to watch, all in a document you can forward to a co-founder or investor. Set up Teams to keep a standing panel you reopen whenever the next big call lands, so it carries context from one decision to the next.
What a strategy table will not do
It will not replace a customer conversation or a real number. The models reason from what you give them, so a confident answer built on a wrong constraint is still wrong. Treat the output as a sharper set of questions and a map of trade-offs, not a verdict. You still make the call; the table just makes sure you saw the other side first.
aiDex Team · Multi-Model Workflows at aiDex
The aiDex team builds a panel-chat tool that brings Claude, GPT, Gemini, DeepSeek, and local Ollama models into one conversation. We write about getting better answers by putting models side by side.
Frequently asked questions
What is a strategy table in aiDex?
A strategy table is a panel of AI models weighing the same decision in one chat. You seat three or four models with Compare, assign one to argue against the leading option, and read the divergent reasoning side by side instead of trusting a single answer.
How is this different from asking one AI for advice?
One model tends to agree with how you framed the question. A panel gives you independent takes, and Judge forces a skeptic to surface the assumption that could sink the plan, which a single agreeable chat rarely does on its own.
Which models should a founder put on the panel?
Pick three with real range, for example Claude Opus 4.8, GPT-5.4, and Gemini 3.1 Pro. The value comes from different reasoning styles, not the brand names. Add DeepSeek V3.2 or a local Ollama model if you want a cheaper voice in the mix.
Can I keep my own API keys?
Yes. Use your own provider keys or the ones we manage, and pick the models you want. Founders watching burn can run on existing provider accounts, set spending limits, and see the per-message cost of each panel.
Will the AI make the decision for me?
No, and it should not. A strategy table surfaces assumptions, trade-offs, and the strongest counterargument. The judgment stays yours; the panel just makes sure you considered the other side before committing.
Keep reading
Run a Strategy Table in 10 Minutes With a Panel of AIs
Seat several models around one decision, assign stances, and leave with the trade-offs mapped, not a single answer to second-guess.
aiDex for Product Managers: Run Your PRD Through a Critique Panel
Use a panel of AI models to pressure-test a product spec, then force a decision.
aiDex for Analysts: Two Models Read, One Decides
Two models read the same data independently, a third reconciles the gap: a practical setup for analysts who have to defend the number.
aiDex for Marketers: Five Copy Variants From Three Brains
Run one brief through several models, compare the angles, and let a Judge pick the strongest line.