Single-purpose agents
Agents for research, triage, preparation, coordination, or controlled application actions.
TOOLS, CONTEXT, BOUNDARIES
Build agents that know what they may do and when to stop.
CodeCradle engineers tool-using systems for work that genuinely benefits from flexible planning, while keeping permissions, approvals, failure behavior, and operational visibility explicit.
01Task + context
02Bounded agent
03Approved tools
Permission checks and human approval surround every consequential action
02 / THE WORK
What this service is for.
An agent is useful when a task cannot be reduced to one fixed sequence and the system must choose among approved actions using current context. It is not a substitute for every workflow. Strong agent architecture narrows the action space, gives tools precise contracts, limits access, records consequential steps, and hands judgment back to a person when confidence or authority runs out.
A SOUND FIT
Start with the operating condition.
- 01
Work spans several systems and the next action depends on context.
- 02
A bounded set of tools can complete or advance a task.
- 03
Exceptions need flexible reasoning rather than hundreds of brittle branches.
- 04
Human approval can remain at consequential decision points.
WHAT WE CAN BUILD
Concrete capability, not a vague transformation.
Agent tool layers
Typed tools over APIs, databases, internal services, and MCP servers with explicit authorization.
Evaluation and operations
Task sets, traces, failure categories, approval queues, and production feedback loops.
SYSTEM VIEW
The capability is only one part of the system.
Integration quality depends on the boundaries around it: identity, data, contracts, evaluation, failure behavior, and operational ownership.
01Task + context
02Bounded agent
03Approved tools
Permission checks and human approval surround every consequential action
ENGINEERING POSITION
What matters in production.
Use the least autonomy required
A workflow, rule, or simple model call is often more dependable. Agent behavior is added only where flexible selection and iteration create real value.
Treat tools as product interfaces
Tool names, inputs, outputs, errors, idempotency, and authorization determine whether an agent behaves reliably.
Evaluate trajectories, not just answers
We inspect which tools were selected, in what order, with which context, and how the system handled failed or ambiguous steps.
ENGAGEMENT
A reviewable path into the work.
- 01
Identify the task, authority boundary, and acceptable outcome.
- 02
Model the tools, resources, state, and escalation points.
- 03
Build representative evaluation scenarios before broad autonomy.
- 04
Deploy with traceability, limits, and ongoing review.
SERVICE QUESTIONS
Before you start.
01Does this need a multi-agent system?+
Often it does not. Multiple agents add coordination and evaluation complexity. We use them only when clearly separated roles or parallel work materially improves the system.
02Can an agent update our business systems?+
Yes, through narrowly scoped and authorized tools. High-impact or irreversible actions should use confirmation, approval, idempotency, and audit controls.
03How do you prevent an agent from accessing the wrong data?+
Access is enforced by the surrounding application and tool layer, not by a prompt. The agent receives only the resources and actions permitted for the active user or workflow.
04How is agent quality measured?+
Against representative tasks and failure modes: outcome quality, correct tool selection, policy adherence, latency, cost, and escalation behavior.
NEXT STEP
Bring us the system, workflow, or product that needs to change.
We’ll help define the smallest sound way forward, then build it with the surrounding software in view.