The skills library is open: 86 files, one email

best case · the full build

The Ad Engine: data-driven advertising, end to end.

What happens when the whole Growth OS points at paid.

This is the flagship configuration: your signal ledger feeding the ad platforms, three autonomous agents running the operational grind, and every closed deal training the algorithms. Your team sets strategy and approves: the engine executes.

layer 01

Scalable data ingestion

The foundation: signals in, clean and complete.

First-party pipeline

Every user signal captured server-side: tracking, webhooks, CRM events: one stream, on your infrastructure.

Clean data layer

Incoming events are deduplicated, consent-aware and structured in real time, so everything downstream trusts the stream.

High throughput

Built for real event volume without latency loss: conversions get captured, not sampled.

Three agents run the ad-ops grind.

Around the clock. Humans keep the approve button.

Audience Builder Agent

segments

Reads behavior from the ledger and builds high-converting lookalike and retargeting segments dynamically: no more monthly audience exports.

Analyzed 41k ledger events

Built segment: pricing-page × 3

Synced to Meta & Google

Creative Performance Agent

creatives

Evaluates ad creatives in real time, catches ad fatigue before the metrics tank, and proposes variants on its own: humans approve.

Watching 18 live creatives

Fatigue detected: var-07

Drafted 3 replacements → review

Bidding & Budget Agent

spend

Optimizes bidding strategy and budget split across Meta, Google and TikTok: driven by your real attribution data, not platform-reported numbers.

Reading closed-loop attribution

Shifted 12% budget → Google PMax

Bid caps updated on 4 ad sets

illustrative runs: your agents operate on your accounts, your rules, your approval gates

layer 03

The execution loop

Revenue back into the machine.

Closed-loop attribution

Offline conversions and CRM deals flow back into the ad networks, so the algorithms train on revenue: not clicks.

Automated reporting

ROAS, CAC and LTV live on one dashboard instead of manual spreadsheet maintenance.

What each component buys you.

In ad-platform terms, not ours.

ComponentWhat it does for the ad business
Server-side ingestionHigher data quality where client-side tracking drops off (iOS, cookie consent)
Agentic workflowsManual campaign-management workload cut dramatically: up to 70% is the design target we build toward
Smart signal injectionHigher match rates on Meta Conversions API and Google Enhanced Conversions

targets, not guarantees: your baseline decides the ceiling, the audit finds it