Bound the Input and Permission Surface
Start by listing accepted media types, the business purpose for each, permitted sources, retention rules, and roles allowed to view the material. Minimize payloads: extract only what the task needs, and avoid sending unrelated attachments or conversation history. Before processing personal, confidential, or regulated content, confirm that policy and authorization allow the chosen handling path. For a hypothetical workflow that reads fields from receipt images, a business owner might approve a specific field list and masking rules; those rules are requirements to verify, not evidence that extraction will be correct. Keep permission decisions attributable to a policy or approver so they can be reviewed later.
Give Work Stable Identity
Assign each logical job a stable key derived from the business record, then persist an input digest, ruleset revision, creation time, and current state. On a repeated submission, look up that key before scheduling work. If the same input is already queued or complete, return its existing state rather than creating another ticket or notification. If the input or approved rules changed, create a distinct revision linked to the original so reviewers can compare the history. In a hypothetical queue replay after a network interruption, the worker should discover the existing job and avoid repeating its external action. Define how key collisions are detected and handled; never assume that a matching filename alone proves two payloads are identical.
Separate Queue State From Side Effects
Represent states such as pending, processing, awaiting review, approved, completed, and blocked with explicit transitions and recorded reasons. Keep candidate generation separate from actions that alter another system. For example, a hypothetical extraction result could be staged for review, while creating a case, updating a record, or sending a message remains disabled until an authorized person approves it. Check permission again at the action boundary, because a job may have waited in a queue after access was revoked. Make each external action idempotent where possible by storing its action key and result. Bound retries by attempt count or elapsed time and classify transient versus permanent failures. If approval or a downstream service is unavailable, leave the job recoverable; do not interpret a timeout as approval or success.
Define Checks and Recovery Before Launch
Write acceptance criteria that a reviewer can apply, such as required fields being present, source material being traceable, sensitive fields being masked, and ambiguous results being held for review. With NexoToken's model API access, consult the current main platform documentation for the supported interface and constraints; do not infer undocumented endpoints or capabilities. Run your own checks on synthetic or authorized samples, including malformed media, missing fields, revoked permissions, duplicate queue delivery, and unavailable downstream services. Record the actual inputs, rule revision, observed outputs, state transitions, and failures; do not label unrun checks as passed. If a check fails, retain a safe diagnostic record, correct the policy or workflow, and replay only through the same deduplication and approval gates. Keep usage history alongside job identifiers where available, but avoid storing raw sensitive content unless policy requires it.
Sources & further reading
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