Quillwell Labs Pilot

Paid Media Agent

Managed execution plus agentic optimization for Google and LinkedIn. Weekly decision records, explicit guardrails, and full rollback paths on every action.

→ Request a pilot → Back to Labs
What it does

Senior operator model, with agent execution speed.

The agent supports a senior operator working across Google and LinkedIn accounts. It detects shifts, proposes approved changes, applies them, and logs rationale, risk, and rollback for every action taken.

This is not a "set and forget" optimization tool. It is a systematic execution layer with a human operator in the loop at every high-stakes decision point.

Execution scope
Platforms Google + LinkedIn
Cadence Weekly receipts
Decision record format Plain leadership language
Execution areas

What the agent handles week to week.

Campaign structure

Build and restructure

Campaign creation, restructuring, and relaunching based on performance patterns and strategic shifts. Each action logged with rationale.

Performance optimization

Bid, budget, audience

Budget reallocation, bid strategy adjustments, audience refinement, query sculpting, and creative rotation. All with stop-loss guardrails.

Reporting and records

Weekly decision records

Every week: what changed, why it changed, what the expected outcome is, and what the rollback path is if the change underperforms.

Guardrails by default
  • Approval gates for sensitive or high-spend actions
  • Stop-loss thresholds for spend and CPA drift
  • Action-level audit trails with rationale and rollback plans
  • Least-privilege API access and explicit ownership records
  • Weekly human review cycle before any structural changes ship
Why guardrails come first

Agent speed without governance is politics in code.

Every action the agent takes must be explainable, reversible, and owned by a named person. These are not optional features. They are the design constraint that makes agentic execution trustworthy enough to scale.

Leadership should be able to read the weekly record and understand exactly what happened and why, without needing to ask the operator.

Who it's for

Pilot criteria and fit signals.

Good fit

Teams this is built for

  • B2B with active Google or LinkedIn paid spend
  • Revenue goal tied to paid pipeline, not just traffic
  • Leadership wants visibility into what is being done and why
  • Open to weekly operator reviews as part of the workflow
Not a fit

When to look elsewhere

  • Primarily B2C or ecommerce with high-frequency bidding needs
  • Looking for fully autonomous spend management with no human review
  • No internal owner willing to engage on weekly decision records
  • Sub-$10K/month combined paid spend

Want agent speed with operator-grade guardrails?

→ Request a pilot

See the Agentic Operations capability this agent is built on.

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