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AI Marketing Agents

Automate a bounded task with a human decision point.

Choose repeatable tasks with inspectable inputs and outputs. Limit the information available to the model and keep drafting separate from publishing.

What the work includes

Choose repeatable tasks with inspectable inputs and outputs. Limit the information available to the model and keep drafting separate from publishing.

Delivery and review

Use a self-hosted model endpoint with access control, rate limits and review logs. Evaluate factual errors and accepted drafts rather than counting generated words.

How progress is evaluated

  • Draft acceptance
  • Reviewer time
  • Error and failure rates

Scope and expectations

Open-source software still requires compute. A model is not a verified live product feed and shared hosting is not assumed to run large models.

Before starting

Share the business objective, current customer journey and evidence you already have. Identify the person responsible for access, subject review and commercial decisions. The proposal should distinguish deliverables, review rounds, operational dependencies and costs.

We can coordinate with an internal team or own a defined workstream. Campaign briefs, implementation tasks and review decisions should remain connected so that responsibility is clear.

From report to decision

Agree the source system and reporting window before the work begins. Each review should identify whether to continue, revise, stop or investigate. When evidence is insufficient, record that uncertainty rather than manufacture a success claim.

YOUR NEXT CHAPTER

Good things start
with a conversation.

Let’s make it happen ↗
WORK WITH ADSONSCALE

Choose how you want to grow.

Advertisers and publishers have different requirements, so each route asks only for the information relevant to that partnership.