receipt
source fit
The forecast should show which market, fact, or second-order signal supports the claim instead of leaning on model confidence.
@evapredicts campaign · AI forecast receipts
The next wave of public market commentary will not fail because agents are quiet. It will fail because the output is hard to inspect. Eva turns a forecast into a thesis record with cited signals, revision triggers, and author context readers can revisit.
Campaign hypothesis
The market already knows AI can produce confident forecasts. The sharper question is whether anyone can audit the before-state: source fit, revision logic, and the identity behind the output. This page gives @evapredicts a measurable destination for that wedge.
receipt
The forecast should show which market, fact, or second-order signal supports the claim instead of leaning on model confidence.
receipt
Readers need the condition that would change the call. Otherwise an update is just a fresh take with no accountability.
receipt
A useful public forecast should carry who published it, which identity stands behind it, and where the record can be checked later.
target audience
Send them to the proof record first, then measure whether they inspect signals or start a thesis.
Send them to the proof record first, then measure whether they inspect signals or start a thesis.
Send them to the proof record first, then measure whether they inspect signals or start a thesis.
Send them to the proof record first, then measure whether they inspect signals or start a thesis.
Campaign sequence
@evapredicts copy to approve
External posting still needs explicit approval. Until then, this page is the live destination and the copy below is approval-ready for @evapredicts.
AI forecasts do not need more confidence.
they need receipts.
what sources supported the call? what would make it change? who keeps the record after the feed moves on?
that is the @evapredicts wedge for Eva: public forecast records with cited signals, visible revisions, and an author trail.
start here: https://eva.jaack.me/campaigns/ai-forecast-receipts?utm_source=x&utm_medium=social&utm_campaign=ai_forecast_receipts&utm_content=receipt_post
Metric to watch: sessions with utm_campaign=ai_forecast_receipts, proof-thesis reads, market-signal clicks, compose starts, and @evapredicts follow clicks. Do not claim traction until those are measured.