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AuthorNX

Don’t writethat book.

Not until the evidence says readers need it. AuthorNX tests nonfiction ideas against real reader signals, argues against them, and tells you plainly which books are worth writing.

Start with an idea, or none.

Explore my idea

Bring a subject, a hunch or a working title. AuthorNX reads it several ways and tests each reading.

Your idea

Money habits for freelancers

Readings to test

  • First-year freelancers with uneven income
  • Creatives who dread tax season
  • Freelancers paying off debt on irregular pay

Sample shown for illustration

Discover for me

Set a market, a budget and a cadence. The Discovery Radar finds reader signals and investigates them.

Discovery Radar

Market
Practical small business, US
Cadence
Weekly
Paid research
Off, $0 a month
Status
Paused until you switch it on

Both paths run through exactly the same evidence, scoring, cost accounting and approval steps.

Read the receipt.

One pipeline, five stages. Every call to a source is logged with what it cost and what it found, so you can see exactly how AuthorNX reached its verdict.

Then the decision is yours: approve, reject, watch, or ask for more research. Nothing is produced, spent or published without you.

Research receipt

Sample mission, free sources only. Not real research.

Reconnaissance

Wikipedia topic attentionFree

Stack Exchange reader questionsFree

Open Library catalog checkFree

Objectives

Each with a way to disprove itFree

Diligence

Crossref source checkFree

Google and Amazon demandSkipped

The Skeptic’s case againstFree

Evidence gate

Measured demandUnknown

Promising, unvalidated$0.00

Ten capabilities, shown as they are.

Status comes from tests, not intentions. Pick one to see what works today and what is still missing.

  • Human- or AI-led missions: reconnaissance, objectives, independent diligence, ranked go / hold / reject.

    Partly working. Both modes run end to end on free sources and fixtures. Live Google and Amazon data waits on DataForSEO funding.

    Open in Mission Control

Unknown stays unknown.

Many research tools fill gaps with confident numbers. When AuthorNX has not measured something it says so, and an idea can’t score above “promising, unvalidated” until real demand data arrives. Left, a guessed search volume. Right, what AuthorNX shows instead.

Evidence, sample opportunity

Reader questions
Observed on Stack Exchange
Search demand
Unknown, not measured
Amazon competition
Unknown, not measured
Verdict
Promising, unvalidated

12k

?

Every source, named.

Free Research

SourceWhat it tells AuthorNXCost
WikipediaHow much attention a topic getsFree
Stack ExchangeReal questions readers askFree
Open LibraryWhich books already existFree
CrossrefSources and DOIs behind claimsFree
Your KDP reportsYour own sales, imported by youFree

Sandbox

SourceWhat it tells AuthorNXCost
DataForSEO SandboxDummy data in the real shape, never evidenceFree

Real Data

SourceWhat it tells AuthorNXCost
DataForSEO GoogleSearch demand for keywordsCapped
DataForSEO AmazonAmazon demand and listingsCapped
OpenRouter modelsDrafting, labeled as model inferenceCapped

Spend nothing by default.

$0

Paid research is off until you switch it on. Every billable call then reserves its maximum cost against mission, daily and account caps, and is refused when the cost is unknown.

The pilot’s default budget setting.

Plain answers.

Does AuthorNX invent numbers?

No. It never shows invented search volumes, sales, rankings or confidence. Anything it has not measured is marked unknown, and AI output is labeled as model inference, never as evidence.

Will it spend money without asking?

No. Paid research is off by default. When you switch it on, every billable call reserves its maximum cost against mission, daily and account caps first, and is refused when the cost is unknown.

Does it publish books for me?

No. AuthorNX never uploads to KDP, changes a listing, buys advertising or publishes anything. People do those steps after they approve them.

What does it use when paid data is off?

Free public sources: Wikipedia, Stack Exchange, Open Library and Crossref, plus the KDP reports you import. Without measured demand the best verdict it gives is “promising, unvalidated”.

What is Sandbox data for?

Testing. DataForSEO’s free Sandbox returns dummy data with the real response shape. It is labeled everywhere it appears and never counts as evidence.

Who is it for?

Right now it is an internal pilot for Jollof Pages, not a public product. It is built to find practical nonfiction books worth writing, and to say so plainly when one is not.

Open Mission Control and run your first mission on free sources.Start