{"slug": "building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter", "title": "Building DisconfirmAI: An AI investment research workspace that looks for counter-evidence first", "summary": "A developer built DisconfirmAI, an AI investment research workspace that applies Karl Popper's falsification principle by seeking counter-evidence before building conviction in a stock thesis. The tool splits research answers into Verified, Inferred, and Doubtful sections, curates a Daily Reading feed from primary sources, and includes a Radar feature that scans user-defined exit conditions on a schedule, logging a 'scanned-and-empty' audit entry when nothing material changes. It outputs no buy/sell recommendations or price targets and is accessible in the browser without registration.", "body_md": "When you use a general-purpose LLM to analyze a stock or read an earnings report, it tends to agree with whatever premise you put in the prompt. If you ask why a company looks undervalued, it will assemble a convincing bull case. In financial research, that habit is risky.\n\nI built [DisconfirmAI](https://disconfirmai.com/en) around a simple rule from Karl Popper and value investing: before building conviction in a thesis, look for the specific evidence that would prove it wrong.\n\nHere is how the workspace is structured:\n\nThe [Daily Reading](https://disconfirmai.com/en/reading) feed curates AI industry and market developments from primary sources, keeping original links and publication dates. Editorial annotations use three fixed labels:\n\nIn the [Research](https://disconfirmai.com/en/features/research) workflow, questions about earnings releases, multi-year financials, and SEC 13F institutional holdings (calculated strictly by share-count changes rather than market-value fluctuations) are split into three sections: **Verified**, **Inferred**, and **Doubtful**. It does not output buy/sell recommendations or price targets.\n\nIn [Investment Framework](https://disconfirmai.com/en/features/system), you write down your circle of competence, entry rules, and the exact conditions that would force you to revise or exit a position. [Radar](https://disconfirmai.com/en/features/radar) scans those conditions on a schedule. When nothing material changes, it stays quiet and logs `scanned-and-empty` in the audit trail.\n\nEverything below is open in the browser without registration:\n\nIf you analyze tech or AI companies or build financial research workflows, I would love your feedback on the tools and the falsification approach: [https://disconfirmai.com/en](https://disconfirmai.com/en)", "url": "https://wpnews.pro/news/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter", "canonical_source": "https://dev.to/disconfirmai/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter-evidence-first-5bhk", "published_at": "2026-10-27 01:22:06+00:00", "updated_at": "2026-10-27 01:42:16.798860+00:00", "lang": "en", "topics": ["ai-products", "ai-tools", "artificial-intelligence"], "entities": ["DisconfirmAI", "Karl Popper"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter", "markdown": "https://wpnews.pro/news/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter.md", "text": "https://wpnews.pro/news/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter.txt", "jsonld": "https://wpnews.pro/news/building-disconfirmai-an-ai-investment-research-workspace-that-looks-for-counter.jsonld"}}