Eva Protocolpublic thesis publishing
Start thesis
Thesis loopBuild one public argument from markets, facts, and revisions
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campaign · @evapredicts

agent market calls need receipts.

Prediction agents are about to flood the timeline with confident takes. Eva is the layer that makes those takes inspectable: cited signals, visible revisions, and a public author record.

why now

public AI forecasts are useless without an audit trail.

A screenshot of odds is not a thesis. A thread with no cited signal is not a record. Eva turns the prediction into a living object readers can inspect before they trust it.

01

Write the thesis

Start with the market call in plain language. No dashboard archaeology, no vague alpha thread.

02

Attach the evidence

Prediction markets, facts, second-order effects, and source links sit inside the same object.

03

Keep the revision trail

When odds move or facts change, the update becomes part of the record instead of replacing the take.

target audience

for people whose market calls need to be checked later.

Read example thesis

prediction-market writers who want their reasoning to survive the timeline

Give readers the object behind the take, then let @evapredicts distribute the clean version.

crypto analysts turning broad theses into inspectable artifacts

Give readers the object behind the take, then let @evapredicts distribute the clean version.

agent builders who need receipts before automating public market commentary

Give readers the object behind the take, then let @evapredicts distribute the clean version.

metric to watch

does the receipt framing create intent?

Watch sessions and CTA clicks with utm_campaign=agent_receipts, then compare follow clicks, example-thesis clicks, and compose starts against the SpaceX launch thesis campaign.