Technology / Design direction

Orchestration is the work
between the agents.

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 campaign is a stateful process.

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.

01 / Shared campaign context

Goals · audience · source material · brand · constraints

02 / Coordination

Task planning & dependencies

Track the work and pass the right context to each specialist.

03 / Specialist tasks

Research · strategy · creation

Prepare outputs against the same brief and review criteria.

04 / Approval boundary

People authorise sensitive and costly actions.

05 / Connected execution

Approved actions only

Proposed integrations must respect tool permissions and campaign limits.

06 / Evidence & review

Results inform the next decision

Preserve observations, recommendations and the reasons for a change.

Engineering priorities

The difficult questions are the useful ones.

01

Context consistency

How should a change to the campaign brief invalidate or update dependent work?

02

Reliable recovery

How should an interrupted task resume without repeating an external action?

03

Quality before execution

Which checks can be automated, and which need a person with domain judgement?

04

Decisions under uncertainty

When results are delayed or incomplete, when should the system recommend a change or wait?

A testable proposition

What the approach needs to improve.

Proposed differences to validate, rather than established product advantages
ApproachUseful forSadivi’s design question
Individual AI toolsPreparing an asset or answering a questionCan shared context reduce repeated briefing and inconsistent outputs?
Fixed automationMoving work through a known sequenceCan coordination handle changed briefs and exceptions reliably?
Manual deliveryExpert judgement and flexible executionCan routine coordination be reduced while preserving quality and oversight?

Product principles

Control has to be designed in.

01

Action permissions

Separate reading, drafting, recommending and executing. Define which actions require explicit approval.

02

Traceable decisions

Record the brief version, relevant inputs, decision and approval that led to an action.

03

Bounded learning

Review changes against the objective and available evidence. Do not treat every movement in a metric as proof of impact.

Next step

Follow the validation plan.

We will assess the architecture against real delivery tasks before making broad claims about autonomous execution or performance.

How we will evaluate it