How an AI agent can prepare a precise implementation plan with requests and edge cases
This workflow gives an AI agent a defined job, a bounded set of records, and a result a person can review. The agent reads the relevant Crossmint context, applies the rules in the prompt, and keeps the source behind every recommendation. It returns a proposed handoff rather than taking consequential actions on its own.
Can an AI agent prepare a precise implementation plan with requests and edge cases?
Yes. Start with the scope, date range, decision rules, and fields that identify the right records. The agent can collect the evidence, compare states or sources, mark conflicts and missing data, and organize the result around the outcome above. A reviewer then checks the matches and judgment calls before approving messages, record updates, bookings, purchases, publishing, or other write actions. The guide below shows the records, boundaries, prompt, and handoff needed for this specific workflow.
Describe the asset flow
State the user action, wallet ownership model, identity key, network, asset, starting state, and expected final state. Include whether the flow creates a wallet, reads balances, or initiates a transaction, plus who authorizes each operation.
The agent should document request order, authentication, identifiers, asynchronous states, events or polling, rate limits, and errors. It must keep test and production environments visibly separate.
Example starter prompt
Research the Crossmint flow for [wallet/transaction behavior]. Wallet ownership is [model], identity is [key], network is [test network], asset is [asset], and success means [observable state].
List requests in order, authentication, payload fields, stored IDs, authorization steps, status transitions, events or polling, retries, and documented errors. Cite the Crossmint source. Include duplicate, insufficient-funds, invalid-identity, rejected, timeout, and safe-retry tests. Do not execute a transaction.
Review irreversible boundaries
Identify where a request can create a wallet, sign, transfer, mint, or otherwise change asset state. Define test fixtures and maximum test value. A timeout does not prove failure, so retries must check the transaction or idempotency state first.
Questions this workflow answers
What identity, authorization, network, and status handling does a wallet feature need before we build it?
An agent can map one user action through wallet ownership and asset state. Give it the custody model, identity key, network, asset, starting state, authorization actor, and observable result. State whether the flow creates a wallet, reads holdings, signs, transfers, or mints. The agent cites Crossmint documentation for request order, authentication, payloads, identifiers, events, polling, rate limits, and errors.
The ownership boundary should be explicit. The application may request an operation, but a user, embedded signer, or service policy may authorize it. The plan records which actor can take each step and which identifiers the application stores. Test and production networks, wallets, and assets remain visibly separate; examples use placeholders and test values only.
Asynchronous states require product behavior. Pending, confirmed, rejected, and failed transactions should produce different UI, retry, and support outcomes. An uncertain timeout does not prove failure. The application must check transaction or idempotency state before another submission. Invalid identity, insufficient balance, rejected authorization, duplicate trigger, and delayed event delivery belong in the test matrix.
The handoff includes a state model, request table, identity map, permission boundary, event handling, retry policy, environment safeguards, and test experiments. Product and engineering owners review irreversible actions and maximum test value. The agent does not execute a transaction or imply legal or financial suitability; it prepares a verifiable technical plan.
The state model should name who can authorize each transition and what the application can safely retry. Creating a wallet, submitting an operation, and observing confirmation have different failure and duplication risks. Network, asset, custody model, fee behavior, and finality assumptions stay explicit. If documentation does not settle what happens after a timeout, the plan requires a test-network experiment rather than guessing that no transaction occurred.
Expected handoff
Return the state model, request table, identity and identifier map, permission boundary, event handling, retry policy, environment safeguards, and test matrix. Mark claims that still require a test-network experiment.