SELL.SYSTEMS / PRACTICAL AI SYSTEMS
AI Growth Operator
Give your AI agent a real business workflow.
Connect advertising evidence, analytics and business context. Build an audit you can verify, a work package you can act on, and memory the next run can use.
THE WORK, WITH EVIDENCE
From an instruction to a business result.
YOUR FIRST WORKING SYSTEM
Three outputs. One useful workflow.
The verified case completed eight query groups, produced 15 source-linked observations, five proposals and five draft texts. A separate agent invocation recovered two reviewed PostgreSQL records by exact lookup. Inspect the case summary.
A source-bound audit
Read Google Ads and GA4 evidence. Explain what conversions mean for the business and what the data cannot yet prove.
A concrete work package
Prepare a measurement investigation and draft improvements, with evidence, validation steps and a clear action status.
Context for the next run
Save findings and open questions. Verify a separate agent invocation can recover the exact result and continue from it.
- Instruction
- Tools + context
- Execution
- Evidence
- Next run
A REAL SELLSYSTEMS CASE
What does a conversion actually mean?
The recorded RU campaign reported two conversions. Both were agreement-acceptance events. Treating them as two sales would produce the wrong business conclusion.
- Impressions
- 2,016
- Clicks
- 53
- Spend, USD
- $5.24
- Agreement events in Ads
- 2
Source: sanitized Google Ads API snapshot, 5 Sep 2026 06:36 UTC. Period: 6 Aug - 4 Sep. Display spend rounded from $5.237856. These figures do not establish sales or profitability.
Inspect the source and its limits
GA4 returned four agreement-acceptance events and four trial-start events. They are not eight proven customers. Selected attribution dimensions were “(not set)”; the cause remains unresolved. Ads and GA4 use different time zones. No purchase row appeared in this selected report; company-wide revenue was not audited.
Download the timestamped training snapshotMISSION 1 / YOUR FIRST GROWTH AUDIT
Bring one workflow. Build one working agent.
Start with our sanitized dataset, or your own authorized account. Your first mission is read-only for real accounts. You will produce files, verify a second run and handle missing evidence before mentor review.
Start from the evidence
- Join the lab with your campus account.
- Download the dataset and edit your agent brief.
- Run the audit in your managed workspace.
- Submit your audit, draft actions, context read-back and recovery proof.
Your workspace. Your pace.
Direct Codex has a free-start option within current plan limits. Review the current managed-workspace offer and trial terms in Terminal Lab. Advertising spend is separate.
Prefer Telegram? The optional OpenClaw setup uses an active paid ChatGPT Plus subscription.
Mentor review: 94/100 to pass. Evidence, interpretation, a concrete artifact, recovered context and a missing-data test.
KEEP BUILDING
Make another workflow operational.
Explore our existing Meeting Intelligence lab: from consent-aware meeting evidence to structured follow-up.