An AI Research Tool Built for Decisions, Not Chat
Most "AI research" today is a chatbot answering from memory. Dossier is built differently: it searches the live web, collects sources, maps evidence to claims, runs calculations, and shows its uncertainty — so what comes out is closer to a research assistant's write-up than a generated paragraph.
What "AI research" usually means — and its limits
A general-purpose AI chatbot answers from patterns in its training data and, at best, a handful of live search results. It's fast, but it doesn't systematically collect sources, doesn't calculate your specific numbers, and rarely tells you what it's unsure about. For a one-off factual question that's fine. For a decision with money or time attached, it's not enough on its own.
How Dossier's AI research differs
Structured research, not a single reply
Every dossier follows the same structure — market, competitors, financials, risks, sources — instead of a freeform answer that varies by phrasing.
Source collection
Dossier runs live web search (Gemini + Tavily) and keeps the sources it used, not just a summary of them.
Evidence mapping
The Evidence Explorer shows every source next to exactly which claim or figure it backs — you can check any number against where it came from.
Calculations, not guesses
Break-even, ROI, and margins are computed deterministically from stated assumptions, not phrased as if the model "just knows" them.
Competitor and risk analysis
A dedicated competitor-intelligence section and a risk matrix, rather than a paragraph mentioning a couple of rivals.
A decision score and scenarios
A single score built from visible components, plus a scenario simulator to test how changing an assumption moves the outcome.
Transparent uncertainty
An explicit "What We Don't Know" section — the gaps in the research are stated, not hidden behind confident-sounding prose.
Example questions people research with Dossier
- Should I start a car detailing business in Chișinău with a €10,000 budget?
- Should a startup enter the EV charging market?
- Which market should my SaaS startup expand into next?
- Is this business idea viable before I quit my job for it?
Limitations: Dossier's research is only as current and complete as the web sources it finds — it can miss recent, paywalled, or offline-only information. It's a research aid, not a substitute for domain expertise, legal advice, or your own due diligence.
FAQ
Is Dossier just ChatGPT with a different interface?
No — the underlying models generate text, but the structure (evidence mapping, deterministic financial math, competitor/risk sections, a decision score) is built in code around them, not left to the model to invent.
Can I see where a number came from?
Yes, in the Evidence Explorer on every dossier — it lists each source and the specific claim it supports.
What if the research is wrong or outdated?
Verify anything material against the cited source before acting on it — that's exactly why sources are shown rather than hidden.