qa
FreeExercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.
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Exercise the delivered customer journey using real runtime or browser evidence. Use for functional acceptance testing after implementation, including failure paths.
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Compare competing customer use cases by value, feasibility and evidence. Use when several problems compete for delivery capacity.
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Map stakeholders, decision rights, influence and blockers from supplied evidence. Use when ownership is unclear or the stakeholder landscape changes.
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Configure or diagnose access to a requested source using available host tools. Use for source MCP setup; source configuration needs no engagement record and credentials stay with the host.
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Investigate a failure, regression or incorrect result in an integration or application, even before it can be reproduced. Use for diagnosis and repair; follow incident authority for live mitigation.
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Keeps the engagement record for client work. Use when they name a client or stakeholder. Use when they debrief a meeting or paste notes. Use when they ask what was agreed. Use when they run a POC, change the client's codebase, prove it on their staging, go live, or need evals before a model acts. Use when they prep a readout, when trust shifts, or they say @fde. Route and run the local fde CLI (or npx --yes fdeops). Never ask them to type commands. Not for ordinary code edits in an unbound repo.
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Prepare a sponsor update separating promised outcomes, measured results and customer acceptance. Use for progress readouts or defending a delivery claim.
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Prepare and rehearse a recovery path for an intended release. Use when rollback is assumed, untested or previously failed; follow the environment authority for any drill.
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Transfer operation of a customer deployment with ownership, evidence and a tested support path. Use for handoff or an engineer rotation, not merely code delivery.
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Audit an inherited engagement or implementation against its evidence. Use when taking over work or joining mid-project; distinguish verified facts from inherited claims.
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Clarify a new customer brief, desired outcome, constraints and evidence gaps. Use for kickoff or a first meeting; do not repeat discovery already supplied.
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Turn meeting notes or a transcript into sourced decisions, changes and next actions. Use after a customer conversation; review consequential record updates before saving.
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Prepare a customer demo or executive walkthrough around an evidenced outcome. Use before show-and-tell to rehearse the journey and prepare a fallback.
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Plan how to earn customer trust and appropriate access. Use when credibility, permissions or AI policy constrain the engagement.
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Evaluate an AI workflow against representative cases and its permitted actions. Use for model, retrieval or agent evaluation; tests do not grant release authority.
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Fetch requested source material and prepare sourced engagement updates. Use to catch up from external notes or messages; applying updates requires a bound record and confirmation.
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Build or change a customer-system integration with explicit data mapping, permissions, retries and reconciliation. Use for connectors, imports, write-back and upstream APIs.
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Sequence an understood outcome into verifiable delivery slices with dependencies, ownership and acceptance checks. Use for delivery planning, estimation or migration strategy.
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Run a bounded customer proof of concept to test a consequential uncertainty. Use for a spike or pilot with a question and decision deadline, not a full rollout.
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Stress-test a plan, brief or delivery claim against evidence and plausible failure modes. Use when the user asks for a red team or preparation for a consequential decision.
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Triage an outage, loss of stakeholder trust or a failing engagement direction. Use for urgent recovery; distinguish diagnosis from authorized production mitigation.
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Write an operating runbook from the delivered system and verified procedures. Use when the customer team or a successor needs to operate without the original engineer.
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Assess a new customer request against agreed scope, trade-offs and ownership. Use when an engagement expands or a custom feature needs a commitment decision.
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Prepare or execute an authorized controlled release with verified checks, recovery and an operating owner. Use when a customer increment is ready for deployment.
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