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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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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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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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Draft a board or executive summary of an engagement using outcomes, risks and investment decisions. Use when the sponsor needs to brief senior leadership.

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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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Review the portfolio across existing engagement records. Use for status across customers; requires accessible permitted records and does not create missing client histories.

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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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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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Assess a field lesson for reuse or product feedback without exposing customer context. Use for recurring deployment lessons; distinguish a hypothesis from a validated pattern.

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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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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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Review a proposed customer code change against its intended outcome and operational risks. Use for a diff or PR review; report evidence and actionable findings.

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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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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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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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Challenge a proposed solution by identifying and testing consequential assumptions. Use when the brief feels too certain or discovery reveals contradictions.

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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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Trace a customer workflow and identify the problem, baseline and evidence gaps. Use for discovery or an unclear customer brief, before choosing a solution.

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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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Compare feasible approaches to a customer problem and recommend a path with costs, constraints and evidence. Use for an architecture or delivery decision, not implementation.

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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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