Configure acquisition, diagnosis, solution, delivery, feedback, review, context, and evolution Agents into a coordinated AI-native operating team.
Runs improvement routines for prompts, process, knowledge, and anomalies.
Captures customer feedback, satisfaction signals, quality issues, and improvement tasks.
Acquisition, diagnosis, solution design, and delivery execution.
Measures operating metrics, detects deviation, and proposes experiments.
Captures, classifies, updates, and governs reusable business knowledge.
This playbook describes responsibilities, inputs, outputs, permissions, and handoff rules. It does not expose raw internal prompts on the public site.
Monitors GEO visibility, scores leads, prepares outreach sequences, and identifies promising customer signals.
Turns customer information into adoption diagnosis, ROI assumptions, risk notes, and project-scope options.
Uses templates and context to draft solution structure, deliverables, roadmap, and estimate assumptions.
Executes research, documentation, prototype, code, testing, and milestone reporting under quality gates.
Collects acceptance feedback, classifies issues, monitors satisfaction, and turns feedback into improvement items.
Tracks economic efficiency, operating speed, and evolution capability, then recommends experiments.
Extracts, classifies, reviews, and updates company context so Agents can query business memory.
Runs night-time improvement loops and separates automatic fixes from approval-required changes.
| From | To | Handoff | Control point |
|---|---|---|---|
| Acquisition | Diagnosis | Qualified lead, industry, pain point, maturity score | High-value leads are escalated |
| Diagnosis | Solution | Confirmed needs, scope, constraints, and ROI assumptions | Scope is approved by humans |
| Solution | Delivery | Tasks, deliverables, timeline, and acceptance standards | Key commitments are reviewed |
| Delivery | Feedback | Milestones, deliverables, defects, and customer comments | Negative feedback is escalated |
| Review | All Agents | Metric deviation, bottlenecks, and improvement proposals | High-risk changes need approval |
| Context | All Agents | Cases, templates, decision rules, and industry context | Permission and freshness are checked |
Low-risk monitoring, classification, summary, drafting, and reporting can run automatically with logging.
Customer-facing claims, pricing, strategy changes, budget actions, and workflow changes require review.
Hiring, legal commitment, major finance, crisis response, and strategic direction remain human decisions.
Weak outputs are identified and variants are queued for testing.
Slow steps are analyzed and template or sequence improvements are proposed.
New context enters the knowledge base after permission and conflict checks.
The team receives completed changes, pending approvals, and risks.
The value comes from clear roles, controlled handoffs, shared context, and reviewable autonomy.
Discuss Agent configuration