Pin down exactly what the agent must do
Vague scope is where AI projects quietly go wrong. We turn a rough idea into a precise definition of what the agent handles, what it must never do, what good output looks like, and how success gets measured. It is the difference between an agent people trust and one they quietly stop using.
Everything included,
nothing bolted on.
Every build starts with a fixed-scope conversation, no surprise line items after the fact.
- Scope and responsibility definition
- Guardrails and hard limits
- Input and output specification
- Success and quality criteria
- Edge case and refusal handling
- Data and access requirements
- Acceptance criteria up front
- Shared, sign off ready spec
FAQ
We define the job the agent is responsible for, set the hard boundaries it must respect, describe what good output looks like with concrete examples, and agree the acceptance criteria up front.
No. A rough idea is enough. The point is turning that rough idea into a precise definition of what the agent handles, what it must never do, and how success gets measured.
A brief is usually vague scope, which is where AI projects quietly go wrong. This sets hard limits, refusal cases and concrete right and wrong output examples that can actually be tested against.
The build starts from the shared, sign off ready spec, so what ships matches what was pictured and there is a clear line for what counts as done and working.
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The build starts from a spec everyone has agreed, so what we ship matches what you pictured and there is a clear line for what counts as working.
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