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📖 The AI Tool Bible

AI Investment Operating System

A multi-model AI coaching layer that helps retail investors pick a philosophy and turn any chatbot into an investing assistant.

Free· Free (browser-based; no account required)AgentsAggregates outputs from Claude, ChatGPT, Gemini, Grok, DeepSeek, Kimi, Qianwen and Doubao
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Best for

Self-directed retail investors who already pay for a chatbot and want a structured, opinionated way to pick an investing philosophy and stress-test positions.

Skip if

Professional traders, RIAs or anyone needing live model calls, portfolio sync, brokerage integration or an API — this is a static coaching layer, not a fintech platform.

AI Investment Operating System (v3.0) is a free, browser-based coaching framework built on top of eight commercial AI models — Claude, ChatGPT, Gemini, Grok, DeepSeek, Kimi, Qianwen and Doubao — whose independent outputs across seven structured investing experiments have been synthesised into a single opinionated workflow for individual retail investors. Rather than running its own model, the site walks you through a five-step diagnostic questionnaire (risk appetite, time horizon, capital, discipline, goals) and then routes you to one of several canonical investing philosophies with an accompanying 'AI committee verdict' that reflects where the eight models agreed or diverged on your profile. From there, users get a personalised prompt library they can paste into whichever chatbot they already pay for, plus six embedded decision-lab calculators: a DCA simulator, a drawdown recovery planner, a Kelly criterion sizer, a dividend compounding engine, a pyramid position-builder and a portfolio 'doctor' that flags concentration and correlation issues. The site is written in a plain-spoken, retail-investor voice (English and simplified Chinese versions are available) and treats the AI layer as scaffolding rather than an oracle — the calculators are deterministic, the prompts are transparent, and the philosophy match is derived from the questionnaire rather than a black-box model call. Typical workflows: newcomers use it to pick a lane before opening a brokerage account; experienced DIY investors use the prompt library to standardise how they interrogate their own thesis with a chatbot; and holders of underwater positions use the recovery planner and portfolio doctor to decide whether to average down, hold or cut.

Editor's take

A refreshingly humble entry — it doesn't pretend to be an AI product, it's a curated prompt-and-calculator layer that leans on eight chatbots you probably already use. The diagnostic and calculators are the actual value; the multi-model 'committee' framing is more marketing than mechanism. Useful for beginners who want a lane, less so for anyone past the basics.

— The AI Tool Bible editorial team

Pros

  • Completely free with no signup, no paywall and no data collection wall in front of the tools
  • Aggregates opinions from eight distinct AI models rather than relying on a single vendor's bias
  • Ships six deterministic calculators (DCA, Kelly, dividend, recovery, pyramid, portfolio doctor) alongside the prompts
  • Structured five-step diagnostic gives an actionable philosophy match instead of generic advice
  • Prompt library is portable — works with any chatbot the user already subscribes to
  • English and Chinese versions make it accessible to Mandarin-speaking retail audiences

Cons

  • ⚠️ Not a live AI product — it is a static prompt-and-calculator layer, so there is no chat, no real-time model orchestration and no API
  • ⚠️ No account, portfolio sync or brokerage integration; users must copy outputs into their own tools
  • ⚠️ The 'AI committee verdict' reflects the author's past experiments rather than fresh model calls, so it can drift out of date
  • ⚠️ Investing content is educational and not personalised financial advice; regulatory disclaimers are light
  • ⚠️ Hosted on a small personal-brand domain with limited transparency about the maintainer or update cadence

Use cases

Investment philosophy diagnosticAI prompt library for retail investingDollar-cost-averaging simulationKelly criterion position sizingDividend compounding projectionDrawdown recovery planningPortfolio concentration reviewMulti-model AI consensus comparison

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