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Signal Run 001 β€” Full Battery Γ— 5 Precast Targets

dry-run

Budget-first: Mark sets $3.50/company, Claude runs every active signal. Five real Design Precast buy-side targets from the existing letter cohort. Where live research already sat in the HTML dossiers, the value is populated. Where a signal needs a live gatherer (permits, OSHA, LinkedIn, reviews), it is transparently flagged.

Companies
5
Signals run
0
$ / company
$0.0000
$ / batch
$0.00
Coverage
NaN%
Honest note on what was actually spent

Real API spend this run: $0.00. The per-company $ above is what the batch would cost if every signal had a working gatherer. Live gatherers (Exa, OSHA, DOT, Google Reviews, LinkedIn scrape) are not yet implemented in signal_engine.py β€” only the scoring interface exists. Values shown came from the pre-existing research dossiers in public/legacy-letters/. Next instruction from Mark should pick which 3–5 gatherers to build first.

research: 0inferred: 0needs-gatherer: 0
Signal
Alfred Miller Precast
Louisiana
Coastal Precast Systems
Mobile, Alabama
Foley Products Company
Newnan, GA (HQ) β€” plants AL, TN, SC
Gainey's Concrete Products
Holden, LA
Florence Concrete Products
Florence, SC

Company dossiers (source material)

Ask Mark

  1. Which needs-gatherer signals are most worth building first? (suggest: permits, OSHA, LinkedIn headcount, Google reviews, recent-transactions via Exa)
  2. Is the batch cost ($0.00) for 5 companies acceptable, or should signals be pruned?
  3. Do you want to see the same 5 companies re-run once gatherers are live, side-by-side with this dry-run?