Knowledge base

AI Agency Limits: What We Deliberately Leave Out

A few things are left out of every engagement by choice. Each one is listed here with the reason it stays out.

Safety & ownershipUpdated 30 Sep 20262 min read
On this page
  1. At a glance
  2. No guarantees
  3. No scraping
  4. No payments in chat
  5. No name-dropping
  6. No quiet failures
  7. No lock-in

The list at a glance

We leave outWhat you get instead
Promised scores, rankings or follower countsMeasurements from before and after, and a realistic target stated at the start
Scraping and growth tricksOfficial platform APIs only
Payments inside a chatYour checkout link, with refunds decided by a person
Selling on model or vendor namesThe option with the best running cost that passes quality checks, and its expected cost
Automation that fails quietlyAn alert the moment a run breaks
Lock-inYour accounts, your data and a written description of what runs where

No promised scores, rankings or follower numbers

We measure before the work and again after it, report both figures, and say at the outset what can realistically be reached.

No scraping and no growth tricks

Work on Instagram, Messenger and WhatsApp goes through their official APIs and nothing else. We do nothing that could put your account at risk.

No taking payments inside a conversation

An agent sends your checkout link and stops there. Returning money to a customer is always decided by a person, as set out in approval gates.

No selling on model or vendor names

Each system is designed around the option with the best running cost that still passes our quality checks, and the proposal tells you what it should cost to run. The name on the underlying AI service is not what you are buying.

No automation that fails quietly

Workflows are built to report a failure loudly. When a run breaks, you hear about it straight away, and so do we if the system is looked after under the AI Operations Partner engagement.

No lock-in

The accounts and the data belong to you, and a written description in everyday language explains what runs where. The detail is in data and ownership.

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