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Products · Deep research

A researched report, with the sources under it.

Multi-angle research run live and cited in the body, rendered as the document you would actually circulate rather than a summary somebody has to rebuild. Concrete claims are checked against two independent sources before they land.

Try deep researchSee how it is built
Cited
every claim carries the source it came from
Live
researched at the time of the run, not recalled
Editable
delivered as the file, not as an answer

The trail

An answer you cannot check is a rumour with better typography.

So the method is on the page rather than behind it. This is what runs between the question you type and the document you download, in the order it runs.

  1. 01

    Angles, not a query

    A question is decomposed into separate lines of enquiry - the state of play, the numbers, what is coming - because one search phrasing finds one corner of a subject.

    2-8

    angles per wave

  2. 02

    Run at once

    Every angle dispatches concurrently rather than in turn, so a wave costs the wall clock of its slowest leg instead of the sum of all of them.

    1 wave

    not one after another

  3. 03

    Down a provider chain

    Each leg walks a chain of independent search providers and stops at the first that answers, so one provider being dark or rate-limited costs a hop rather than the finding.

    4 deep

    providers behind each leg

  4. 04

    Deduped by URL

    Angles overlap on purpose, and the overlap is collapsed on the canonical URL before anything is read - so a source found three ways is read once and counted once.

    ≤ 20

    unique sources returned

  5. 05

    Into a numbered ledger

    Surviving sources enter one running ledger, and the claims in the document cite into it by number. The bibliography is not assembled at the end; it is what the writing points at.

    [n]

    cited in the body

Read one properly

Nineteen pages. Every one of them rendered.

Three research reads the platform produced end to end - a brand, a competitive set and a market. Page through any of them and the sources are in the body, not a bibliography bolted on the back. Then download the file it was rendered from.

Brand Deep-Dive - page 1, produced by Lodet AI

Brand Deep-Dive

PDF · page 1 of 9

Download the PDF

Switch deliverable

How deep

One dial, and it moves two things.

How wide the wave fans out, and how much of each source comes back to be read. A deeper run is not a longer document; it is a better-founded one.

Brief

A fact you need standing up before a meeting.

A narrow fan-out and snippet-level reading. Fast, and honest about being a first pass.

Standard

The default, and what most reports are run at.

A wider fan-out with full-page extracts pulled back, so claims are read in context rather than off a search result.

Comprehensive

A read somebody will be held to.

The widest fan-out at the same full-page depth, up to the twenty-source ceiling, and the overflow is kept on disk for the agent to page back into.

Get started

Ask the question. Read the answer.

Researched live, verified against independent sources, and delivered as the document rather than as a chat reply.

Try deep researchView pricing

Keep exploring

Related tools & solutions.

Boardroom Press

The same research delivered in whichever format it belongs in.

Broadcast Booth

The same research, voiced as a two-host episode.

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A data-led page built on the research instead of a file.

Market Intelligence

Ongoing, sourced intelligence across your market.

Manus alternative

How Lodet's cited research compares to Manus.

Research to PowerPoint with AI

From a research question to a finished deliverable.

Lodet AI

AI-powered fashion intelligence platform. From trend analysis to supplier sourcing - structured, professional, and ready to act on.

PricingOpen the app

Weekly fashion intelligence, straight to your inbox.

Kairouan, Tunisie

Designed and built by Mohamed Habib Khattat

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