The AI brain in production
Not slides. Not mockups. These are actual operational cases: every SaaS we unbundled, every rail we built, every cost we cut. Each one writes outcomes back to an owned database that compounds daily.
Outbound Lead Engine
Replaced a $500/month SaaS prospecting platform with a direct API stack at 64% lower blended cost per lead.
The Problem
A traditional SaaS prospecting platform was billing $500/month (~$0.34 blended per mobile lead) to run list queries. Sourcing logic was wrapped behind a UI with credit-expiring limitations and no write-back memory.
The Build
We unbundled the search-and-enrich pipeline. Connected Explee for target geo-sourcing, Exa for search-and-mobile lookup, and Twilio Lookup API for live carrier validation. All records route through Claude Opus for referee checks and true-contact identification. Every validated lead writes to a local SQLite truth table.
UNBUNDLED TECH STACK
COMPOUNDING MOAT
Every resolved lead and referee outcome writes to a local SQLite cache. Over time this builds a private validated directory that outperforms any rented database.
RAW PERFORMANCE LOGS
Want a system like this?
We map your existing workflows, identify the SaaS seats to retire, and build the owned rails that compound.
Eight systems. One doctrine.
Every case below follows the same four-layer rule: own the brain, rent only the rail, accumulate the outcome data, retire the wrapper.
Map your first rail.
One working session is enough to identify which workflows to collapse first and which SaaS seats to retire. We build the rails; you own the asset.