Context consistency
How should a change to the campaign brief invalidate or update dependent work?
Technology / Design direction
Our technical focus is how specialist tasks share context, respect permissions and respond to failures. This page describes the proposed architecture and the questions we intend to validate.
Proposed architecture
A good result depends on more than generating an asset. The system must know which brief is current, what has been approved, what changed and what is allowed to happen next.
Track the work and pass the right context to each specialist.
Prepare outputs against the same brief and review criteria.
Proposed integrations must respect tool permissions and campaign limits.
Preserve observations, recommendations and the reasons for a change.
Engineering priorities
How should a change to the campaign brief invalidate or update dependent work?
How should an interrupted task resume without repeating an external action?
Which checks can be automated, and which need a person with domain judgement?
When results are delayed or incomplete, when should the system recommend a change or wait?
A testable proposition
| Approach | Useful for | Sadivi’s design question |
|---|---|---|
| Individual AI tools | Preparing an asset or answering a question | Can shared context reduce repeated briefing and inconsistent outputs? |
| Fixed automation | Moving work through a known sequence | Can coordination handle changed briefs and exceptions reliably? |
| Manual delivery | Expert judgement and flexible execution | Can routine coordination be reduced while preserving quality and oversight? |
Product principles
Separate reading, drafting, recommending and executing. Define which actions require explicit approval.
Record the brief version, relevant inputs, decision and approval that led to an action.
Review changes against the objective and available evidence. Do not treat every movement in a metric as proof of impact.
Next step
We will assess the architecture against real delivery tasks before making broad claims about autonomous execution or performance.
How we will evaluate it