Define the task before the agent starts building.
The useful handoff to an AI coding agent is a reviewed piece of work: what must happen, who can do it, and how the team will know it works. AlphaTales helps you develop those decisions into requirements and workflows, with architecture context the agent can compare against the repository.
Begin with a piece of work someone can finish
A feature title such as ‘supplier onboarding’ tells the agent the subject, but leaves the behaviour open. Before implementation, agree where that work starts and ends, who is responsible, and what must be true at the end. Identify the part that belongs in the first release.
AlphaTales uses the project foundation and application workflows to establish that context. Your team reviews the proposed workflows, confirms scope, and selects features for detailed specification. That review is where an unresolved responsibility should become a decision, rather than a guess made during coding.
Make the requirements testable
Functional requirements describe what the software must do. Permissions identify who may perform an action. Acceptance checks describe the behaviour that would count as correct, including situations such as incomplete data or an unauthorised user. These details give the agent something more useful than a request to ‘make it work’.
AlphaTales feature specifications include functional requirements, acceptance checks, and related implementation context. Review them against the business need before handoff. A neatly written requirement can still be wrong, and an open question should stay visible until someone with the right knowledge answers it.
Three questions to answer before the code.
What must the software do?
Behaviour, permissions, and acceptance checks.
A defined feature to implement and verify.Read each feature in the workflow around it
A feature may pass its own checks and still leave the next person unable to continue. Workflow context explains what happens before and after the feature, which information crosses the handoff, and what happens on an exception path. Include the selected workflows with the requirements so the agent can see those dependencies.
Then add the reviewed architecture direction and stack choices. Ask the agent to inspect the actual repository before following that direction. An existing integration or code convention may require a different implementation detail; a conflict with the agreed business behaviour needs a team decision.
Hand over the relevant context together
Choose Dev Pack when you want selected planning files in the coding workspace. Choose Build MCP when the client should request context for the selected AlphaTales project and feature. Either way, identify the feature and the intended scope. Avoid mixing requirements from different projects or handing over an old download as the current plan.
The AlphaTales Agent build workflow checks that planning is complete before continuing with Build MCP. That gate supports the handoff; it does not certify the eventual code. Keep implementation review and acceptance checks in the development workflow.
Ask for evidence when the agent finishes
Before coding, ask the agent to summarise the intended behaviour and flag missing decisions. After coding, ask for the checks it ran, the results, and any remaining gaps. Read that evidence against the requirement, not just the agent's final message.
If the business rule changes, update the plan and retrieve or export the relevant context again. Keeping the requirements and implementation in step is an ongoing part of AI software development, not a one-time prompt-writing exercise.
Prepare one feature for an AI-assisted build.
We can work through the planning material and the handoff your team needs.
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