Paid Search Copilot
Copilot for Paid Search, using approved data and bounded actions.
BlueprintPaid Search
Learn the customer, business, technology, AI, controls, and KPIs for paid search.
Learning model: business goal → customer journey → systems/data → failure modes → AI opportunity → human control → KPIs.
Agent patterns
Paid Search Monitor
Monitor for Paid Search, using approved data and bounded actions.
BlueprintPaid Search Recovery Agent
Recovery Agent for Paid Search, using approved data and bounded actions.
BlueprintPaid Search Analyst Agent
Analyst Agent for Paid Search, using approved data and bounded actions.
BlueprintPaid Search QA & Control Agent
QA & Control Agent for Paid Search, using approved data and bounded actions.
Blueprint36 prompts
Paid Search — /human
/human Explain Paid Search to a fresher using a human story, then a D2C example, workflow, risks, and KPIs.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /visualize
/visualize Visualize Paid Search as an end-to-end D2C flow with customer actions, systems, decisions, exceptions, and outcomes.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /diagram
/diagram Create an architecture diagram for Paid Search, showing storefront, services, APIs, data, events, and human approvals.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /flowchart
/flowchart Create a decision flowchart for Paid Search, including normal path, exception path, retry, escalation, and safe stop.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /mindmap
/mindmap Create a mind map for Paid Search: customer, business, data, technology, AI, risks, KPIs, and owners.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /analysis
/analysis Analyse Paid Search performance for a fictional D2C electronics business. Segment results, find root causes, quantify impact, and recommend actions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /RCA
/RCA Create an RCA for a failure in Paid Search: timeline, symptoms, hypotheses, evidence, root cause, containment, corrective action, prevention, and owner.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /BRD
/BRD Write a detailed BRD for improving Paid Search: problem, users, scope, process, rules, integrations, errors, analytics, acceptance criteria, and exclusions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /PRD
/PRD Create a product requirements document for an AI-enabled Paid Search capability with user needs, UX, logic, APIs, controls, metrics, and rollout.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /userstories
/userstories Write user stories and acceptance criteria for Paid Search across customer, operations, support, product, and admin personas.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /testcases
/testcases Generate 50 test cases for Paid Search: happy, negative, boundary, integration, performance, security, accessibility, and business-rule cases.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /UAT
/UAT Create a UAT plan for Paid Search with scenarios, preconditions, data, steps, expected result, owner, severity, and sign-off.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /API
/API Design APIs for Paid Search: endpoints, request/response JSON, validation, idempotency, errors, auth, rate limits, and observability.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /JSON
/JSON Create realistic JSON payload examples for Paid Search, including success, failure, partial, retry, and exception states.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /SQL
/SQL Write SQL analysis questions and example queries for Paid Search: funnel, failures, cohorts, anomalies, SLA, and business impact.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /dashboard
/dashboard Design an executive and operations dashboard for Paid Search with metric formulas, dimensions, thresholds, alerts, owners, and decisions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /KPI
/KPI Define a KPI tree for Paid Search: north-star, leading, lagging, customer, commercial, operational, quality, and risk metrics.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /agent
/agent Design an AI agent for Paid Search: objective, trigger, state, tools, APIs, memory, rules, confidence, approval, audit log, KPIs, and tests.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /multiagent
/multiagent Design a multi-agent workflow for Paid Search, separating planner, specialist agents, deterministic services, and human approval.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /automation
/automation Map Paid Search and label every step: deterministic automation, AI assist, agent action, human approval, or human only.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /guardrails
/guardrails Create AI guardrails for Paid Search: permissions, PII, policy grounding, confidence, financial thresholds, irreversible actions, audit, and rollback.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /evaluate
/evaluate Create an evaluation framework for AI in Paid Search: accuracy, hallucination, precision/recall, latency, cost, safety, and business impact.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /monitor
/monitor Design production monitoring for AI-enabled Paid Search: technical health, model quality, drift, customer harm, business metrics, and alerts.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /incident
/incident Create an incident playbook for Paid Search: detect, classify, contain, communicate, recover, reconcile, and learn.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /SOP
/SOP Write an operations SOP for Paid Search with roles, prerequisites, normal process, exception handling, escalation matrix, and daily controls.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /checklist
/checklist Create a launch-readiness checklist for Paid Search: business, UX, content, data, API, QA, security, analytics, support, and rollback.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /roadmap
/roadmap Create a 90-day roadmap to improve Paid Search: baseline, quick wins, experiments, AI opportunities, dependencies, milestones, and KPIs.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /prioritize
/prioritize Prioritise 15 improvement ideas for Paid Search using impact, effort, confidence, customer value, risk, and dependency.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /executive
/executive Create a one-page executive review for Paid Search: performance, customer impact, revenue impact, top risks, actions, owners, and decisions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /interview
/interview Create 20 interview questions and model answers about Paid Search for ecommerce, product, and AI manager roles.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /quiz
/quiz Create a 15-question quiz on Paid Search: beginner to advanced, with answers and explanations.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /project
/project Create a portfolio project for Paid Search using fictional data: problem, dataset, analysis, AI solution, architecture, prompts, evaluation, and presentation.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /promptEvolution
/promptEvolution Improve a weak Paid Search prompt through beginner, structured, expert, and agent-level versions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /sales
/sales Create five D2C sales scenarios for Paid Search, including intent, recommendation logic, objection, guardrail, and conversion KPI.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /cs
/cs Create five customer-service scenarios for Paid Search, including customer message, system checks, grounded response, escalation, and KPI.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Paid Search — /ops
/ops Create five operations scenarios for Paid Search, with exception, evidence, decision, owner, SLA, and preventive control.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.