System: MWMS
Document Type: Operational Template
Authority Level: MCR Source Of Truth
Status: Draft For MCR
Primary Location: MCR
Future Operational Destination: HeadOffice Brain, MWMS Brain, Brain Room, AI Manager, AI Employee Router, Task Executor Systems, Newsletter Intelligence, Course Absorption System, Opportunity System, AI Business Systems Brain
Parent Page: HeadOffice
Owner: Martyn
Developer Boundary: Do Not Touch M’s Active Build Areas Unless Specifically Assigned
Source Of Truth: MCR
Purpose
The purpose of this document is to define the MWMS Agentic Reporting Template.
This template is used whenever MWMS needs an AI-generated report that does more than summarize information.
MWMS does not need passive reports.
MWMS needs reports that help the system:
- make decisions
- route work
- reduce risk
- create action
- validate outputs
- improve workflows
- update Brains
- support M
- strengthen HeadOffice visibility
- prepare future AIBS client systems
An Agentic Report must clearly explain:
- what was reviewed
- what was found
- why it matters
- which Brain owns it
- what action should happen next
- what risk exists
- whether validation is required
- where the report should go
- what MWMS should learn
This template is the practical daily-use version of the MWMS Agentic Reporting Standard.
Scope
This template applies to reports created across MWMS, including:
- course absorption reports
- newsletter intelligence reports
- offer evaluation reports
- research reports
- finance reports
- experiment reports
- validation reports
- developer support reports
- HeadOffice dashboard reports
- Brain Room task reports
- routed action reports
- MCR page review reports
- failure reports
- outcome reports
- future AIBS client reports
This template may be used manually first.
Later, parts of this template may become report fields, dashboard cards, routed action structures, validation outputs, Supabase records, Brain Room summaries, or future client reporting formats.
Core Definition
An Agentic Report is a structured AI-generated report that connects information to action.
A normal summary says:
Here is what this said.
An Agentic Report says:
Here is what was found, why it matters to MWMS, which Brain owns it, what should happen next, what risk exists, where it should go, and what MWMS should learn.
An Agentic Report is not finished until it supports a decision, action, handoff, validation, routing event, dashboard item, or learning update.
Core Principle
The core principle of this template is:
MWMS reports must be decision-ready, not merely descriptive.
A report should not exist just to explain.
It should help MWMS move forward.
If a report does not create or support a useful outcome, it should be revised, shortened, parked, or rejected.
Agentic Reporting Template
1. Report Title
Field:Report Title:
Purpose:
Gives the report a clear name.
Good Examples:
- Course Absorption Report For AI Agent Workflow Principles
- Newsletter Intelligence Report For Paid Traffic Platform Signal
- Offer Evaluation Report For Test Suitability
- Developer Support Report For Brain Room Issue
- Validation Report For MCR Page Output
- HeadOffice Dashboard Report For Urgent Signals
Bad Examples:
- Summary
- Notes
- Report
- This One
- AI Thoughts
Rule:
The title should make the report’s function obvious.
2. Source
Field:Source:
Purpose:
Identifies where the information came from.
Examples:
- uploaded course file
- course transcript
- newsletter
- Brain Room message
- affiliate offer page
- Supabase row
- WordPress page list
- developer screenshot
- M note
- Google Ads report
- finance data
- experiment result
- client document
Rule:
A report without a clear source is weak intelligence.
3. Source Reference
Field:Source Reference:
Purpose:
Records the exact source if available.
Examples:
- file name
- lesson title
- newsletter subject
- page title
- screenshot file
- Supabase record ID
- Brain Room thread
- dashboard row
- offer name
- date received
Rule:
Use this field when the source may need to be checked later.
4. Report Type
Field:Report Type:
Recommended Values:
- Course Absorption Report
- Newsletter Intelligence Report
- Offer Evaluation Report
- Research Report
- Finance Scenario Report
- Experiment Result Report
- Developer Support Report
- Validation Report
- HeadOffice Dashboard Report
- Brain Room Task Report
- Failure Report
- Outcome Report
- AIBS Client Report
Rule:
The report type determines what detail, validation, and handoff are required.
5. Owning Brain
Field:Owning Brain:
Purpose:
Identifies the Brain responsible for the report.
Examples:
- HeadOffice Brain
- Affiliate Brain
- Research Brain
- Finance Brain
- Experimentation Brain
- Content Brain
- Ads Brain
- Sales Brain
- Conversion Brain
- Operations Brain
- AI Business Systems Brain
Rule:
Every serious report needs a responsible Brain.
6. Supporting Brains
Field:Supporting Brains:
Purpose:
Lists other Brains affected by the report.
Examples:
For an offer evaluation:
- Research Brain
- Ads Brain
- Finance Brain
- Experimentation Brain
- HeadOffice Brain
For course absorption:
- HeadOffice Brain
- AI Business Systems Brain
- relevant specialist Brain
For newsletter intelligence:
- Ads Brain
- Content Brain
- Affiliate Brain
- Research Brain
- Finance Brain
Rule:
Cross-Brain impact should be visible.
7. Executive Verdict
Field:Executive Verdict:
Recommended Verdicts:
- Accept
- Revise
- Reject
- Park
- Monitor
- Test
- Route
- Escalate
- Create Page
- Update Page
- Create Task
- Send To M
- Send To HeadOffice
- Send To Research Brain
- Send To Finance Brain
- Send To Experimentation Brain
- Add To Dashboard
- Archive
Purpose:
States the decision near the top of the report.
Rule:
The decision should be visible before the detail.
8. Short Summary
Field:Short Summary:
Purpose:
Gives a clear plain-English summary of the report.
Should Include:
- what was reviewed
- what was found
- why it matters
- what should happen next
Rule:
Keep this short and useful. Do not turn it into the full report.
9. Key Findings
Field:Key Findings:
Purpose:
Lists the most important findings.
Good Finding Example:
The source shows that AI workflows need role separation, validation gates, context control, and handoff structure before automation.
Weak Finding Example:
AI agents are important.
Rule:
Findings must be specific enough to support a decision or action.
10. Business Meaning
Field:Business Meaning:
Purpose:
Explains why the findings matter to MWMS.
Business Meaning May Include:
- improves a Brain workflow
- strengthens AI Employee design
- improves decision quality
- reduces risk
- saves time
- supports future AIBS packaging
- improves M’s build clarity
- improves HeadOffice visibility
- protects budget
- improves testing discipline
- improves dashboard quality
- improves client delivery later
Rule:
MWMS does not need information unless it knows why the information matters.
11. Recommended Action
Field:Recommended Action:
Purpose:
Defines what should happen next.
Recommended Actions May Include:
- create MCR page
- update existing MCR page
- route to Brain
- create Agentic Work Unit
- send to validation
- add to dashboard
- send to M
- prepare developer brief
- request research
- send to Finance Brain
- send to Experimentation Brain
- park for later
- reject
- log learning
- create AIBS packaging note
Rule:
A report without a next action is usually not operational.
12. Risk Notes
Field:Risk Notes:
Purpose:
Identifies risk, uncertainty, or limits.
Risk Notes May Include:
- source is incomplete
- source file expired
- current verification needed
- possible duplicate page
- compliance risk
- finance risk
- developer risk
- tool permission risk
- M’s active build may be affected
- public content risk
- client-facing risk
- assumptions not confirmed
- vendor claims not verified
Rule:
Risk must be visible before action.
13. Evidence Or Source Grounding
Field:Evidence Or Source Grounding:
Purpose:
Explains what the report is based on.
Examples:
- uploaded transcript
- pasted page content
- screenshot evidence
- WordPress page list
- source document
- current user instruction
- verified workflow state
- known MWMS standard
Rule:
Do not present unsupported claims as facts.
14. Assumptions
Field:Assumptions:
Purpose:
Lists any assumptions made during the report.
Examples:
- assuming uploaded file is the latest version
- assuming page title matches MCR naming rules
- assuming newsletter body is complete
- assuming screenshot reflects current state
- assuming offer source is accurate
- assuming M’s active build is not affected
Rule:
Assumptions must be marked clearly.
15. Validation Status
Field:Validation Status:
Recommended Values:
- Draft
- Self Checked
- Needs Validation
- Validated
- Failed Validation
- Human Review Required
- Source Verification Required
- Developer Review Required
- Compliance Review Required
- Finance Review Required
Rule:
Reports should not silently pretend to be final.
16. Validation Level
Field:Validation Level:
Recommended Values:
- Level 1 — Light Validation
- Level 2 — Structured Validation
- Level 3 — Operational Validation
- Level 4 — High Risk Validation
- Level 5 — Critical Validation
Rule:
The higher the risk, the stronger the validation.
17. Handoff Destination
Field:Handoff Destination:
Possible Destinations:
- MCR
- HeadOffice review
- Brain Room
- AI Manager
- Newsletter Queue Review
- Routed Actions
- HeadOffice Dashboard
- Research Brain
- Finance Brain
- Experimentation Brain
- Ads Brain
- Content Brain
- M developer handoff
- Parking System
- Archive
- Human Review Queue
- AIBS Client Review
Rule:
A report must know where it belongs.
18. Owner Of Next Action
Field:Owner Of Next Action:
Examples:
- Martyn
- M
- HeadOffice
- Affiliate Brain
- Research Brain
- Finance Brain
- Experimentation Brain
- Content Brain
- Ads Brain
- AI Manager
- Human Review Queue
- Future Client Operator
Rule:
A report should not create orphaned action.
19. Priority
Field:Priority:
Recommended Values:
- Critical
- High
- Medium
- Low
- Parking Lot
Rule:
Priority should be based on business value and risk, not excitement.
20. Urgency
Field:Urgency:
Recommended Values:
- Immediate
- Today
- This Week
- Next Session
- Before Build
- Before Launch
- Monitor
- No Urgency
- Parked
Rule:
Urgency should be believable and justified.
21. Status
Field:Status:
Recommended Values:
- Draft
- Ready For Review
- Needs Validation
- Validated
- Routed
- Action Created
- Waiting For Input
- Parked
- Rejected
- Escalated
- Completed
- Logged
- Archived
Rule:
Status makes reporting trackable.
22. Learning Capture
Field:Learning Capture:
Purpose:
Identifies whether MWMS should preserve reusable learning.
Learning May Include:
- new framework
- new workflow rule
- new AI Employee role
- new validation rule
- new failure mode
- new dashboard improvement
- new offer rejection pattern
- new newsletter signal pattern
- new developer instruction rule
- new AIBS packaging idea
Rule:
Good reports should improve future system behavior.
23. Logging Requirement
Field:Logging Requirement: Yes / No
Logging Required For:
- MCR page creation
- developer handoffs
- high-risk reports
- validation failures
- offer evaluations
- finance decisions
- cross-Brain reports
- HeadOffice dashboard reports
- important newsletter intelligence
- client-facing workflow reports
Rule:
Important reports should leave a trace.
Quick Use Version
Use this shorter report form when working fast.
Report Title:
Source:
Source Reference:
Report Type:
Owning Brain:
Supporting Brains:
Executive Verdict:
Short Summary:
Key Findings:
Business Meaning:
Recommended Action:
Risk Notes:
Evidence Or Source Grounding:
Assumptions:
Validation Status:
Validation Level:
Handoff Destination:
Owner Of Next Action:
Priority:
Urgency:
Status:
Learning Capture:
Logging Requirement:
Report Type Templates
1. Course Absorption Report Template
Use when analyzing course material.
Required Sections:
- Report Title
- Source
- Course / Module / Lesson
- Executive Verdict
- Clear Summary
- MWMS System Value
- Benefits To MWMS Brain
- Integration Notes
- Employee Creation Suggestions
- Trends And Concerns
- What To Ignore
- Possible MCR Pages
- Duplication Risk
- Recommended Action
- Validation Status
- Handoff Destination
- Learning Capture
Verdict Options:
- Absorb
- Absorb And Create Page
- Update Existing Page
- Park
- Ignore
- Reject
Rule:
Course reports must extract system value, not just summarize content.
2. Newsletter Intelligence Report Template
Use when analyzing newsletters.
Required Sections:
- Report Title
- Newsletter Source
- Subject / Date
- Main Signal
- Underlying Pattern
- Business Relevance
- Primary Brain
- Supporting Brains
- Recommended Action
- Confidence
- Urgency
- Priority
- ACT NOW / TEST / MONITOR / PARK / REJECT
- Risk Notes
- Routing Destination
- Learning Capture
Rule:
Newsletter reports must separate business signal from noise.
3. Offer Evaluation Report Template
Use when evaluating affiliate, CPA, CPL, PPL, or digital product offers.
Required Sections:
- Report Title
- Offer Name
- Network
- Niche
- Funnel Type
- Vendor Quality
- Market Demand
- Claims And Proof
- Compliance Risk
- Traffic Fit
- Finance Notes
- Experimentation Fit
- Green / Yellow / Red Verdict
- Recommended Next Step
- Risk Notes
- Handoff Destination
Rule:
Offer reports must be evidence-based and test-focused.
4. Research Report Template
Use when Research Brain evaluates a topic, market, competitor, product, source, or claim.
Required Sections:
- Report Title
- Research Question
- Sources Reviewed
- Key Evidence
- Conflicting Evidence
- Confidence Level
- Assumptions
- Business Meaning
- Brain Impact
- Recommended Action
- Further Research Needed
- Handoff Destination
Rule:
Research reports must distinguish facts, assumptions, and uncertainty.
5. Finance Scenario Report Template
Use when Finance Brain reviews budgets, break-even points, cash flow, or forecast scenarios.
Required Sections:
- Report Title
- Scenario
- Inputs
- Assumptions
- Break Even Logic
- Best Case
- Base Case
- Worst Case
- Risk Notes
- Decision Implication
- Recommended Budget Action
- Human Review Requirement
Rule:
Finance reports must show assumptions clearly.
6. Experiment Result Report Template
Use when Experimentation Brain reviews test results.
Required Sections:
- Report Title
- Test Name
- Hypothesis
- Variables
- Results
- Signal Quality
- Confidence
- Learning
- Decision
- Next Test
- Stop / Iterate / Scale / Park Verdict
- Outcome Log Requirement
Rule:
Experiment reports must capture learning, not just performance.
7. Developer Support Report Template
Use when preparing work for M or future developers.
Required Sections:
- Report Title
- Site / System
- File / Screen
- Issue
- Visible Evidence
- Current Save Point
- Required Change
- Exact Instruction
- What Not To Touch
- Test Steps
- Expected Result
- Risk Notes
- Handoff Destination
- Human Review Requirement
Rule:
If M cannot act safely without guessing, the report is not good enough.
8. Validation Report Template
Use when checking another AI output.
Required Sections:
- Report Title
- Output Reviewed
- Source
- Output Type
- Owning Brain
- Validation Level
- Checks Performed
- Pass / Fail Result
- Issues Found
- Required Revision
- Final Decision
- Handoff Destination
- Learning Capture
Rule:
Validation reports must produce a decision state.
9. HeadOffice Dashboard Report Template
Use when preparing dashboard-ready intelligence.
Required Sections:
- Report Title
- Signal
- Owning Brain
- Action Type
- Priority
- Urgency
- Owner
- Status
- Reason
- Next Step
- Source
- Risk Notes
Rule:
Dashboard reports must be short, specific, and action-ready.
10. AIBS Client Report Template
Use for future client-facing AI Business Systems workflows.
Required Sections:
- Report Title
- Client Process
- Input Source
- AI Workflow Used
- Findings
- Business Meaning
- Recommended Action
- Risk Notes
- Human Approval Required
- Business Impact
- Next Step
- Owner
- Status
Rule:
Client reports must be clear enough for a non-technical business owner to act on.
Agentic Report Quality Checklist
Before accepting a report, check:
- Is the report title clear?
- Is the source identified?
- Is the source reference included where needed?
- Is the report type clear?
- Is the owning Brain listed?
- Are supporting Brains included where needed?
- Is the executive verdict visible?
- Is the summary useful?
- Are key findings specific?
- Is business meaning included?
- Is the recommended action clear?
- Are risk notes included?
- Is source grounding visible?
- Are assumptions marked?
- Is validation status clear?
- Is validation level appropriate?
- Is handoff destination clear?
- Is the owner of next action clear?
- Is priority believable?
- Is urgency believable?
- Is status clear?
- Is learning capture considered?
- Is logging required?
- Is the report too long for its purpose?
- Can the next person or system use it?
If several answers are unclear, the report is not ready.
Report Decision States
After review, assign one report decision state.
Accept
Report is useful and ready for next step.
Accept With Minor Edits
Report is mostly useful but needs small fixes.
Revise
Report has value but is incomplete, vague, or misformatted.
Park
Report may be useful later but should not move now.
Reject
Report is weak, unsupported, duplicated, or not useful.
Escalate
Report needs Martyn, HeadOffice, M, finance, compliance, or specialist review.
Route
Report should be sent to another Brain, queue, dashboard, or human.
Create Action
Report should become an Agentic Work Unit, task, developer brief, page update, or routed action.
Common Reporting Failure Modes
A report has failed if:
- It only summarizes and does not support action.
- It has no clear verdict.
- It has no owning Brain.
- It has no recommended action.
- It ignores risk.
- It has no handoff destination.
- It has no business meaning.
- It is too generic.
- It hides the important point too far down.
- It treats assumptions as facts.
- It creates dashboard noise.
- It sends vague instructions to M.
- It creates no outcome.
- It duplicates existing pages.
- It does not say what MWMS should learn.
Any report showing these signs should be revised, parked, or rejected.
Manual Use Rule
This template should be used manually before it becomes technical infrastructure.
Manual use helps MWMS learn:
- which report sections matter most
- which reports are too long
- which report types repeat
- which report formats are dashboard-ready
- which reports need stronger validation
- which reports should become tasks
- which reports should be parked
- which report fields may later become Supabase or WordPress fields
Manual proof comes before automation.
Future Plugin Or UI Relevance
This template may later become:
- report generation screen
- Brain Room report format
- HeadOffice dashboard report card
- Newsletter Intelligence report structure
- Course Absorption report record
- Offer Evaluation report record
- Developer Support report screen
- Validation report record
- AIBS client report template
- Supabase report table
Possible future fields:
- report_id
- report_title
- source
- source_reference
- report_type
- owning_brain
- supporting_brains
- executive_verdict
- short_summary
- key_findings
- business_meaning
- recommended_action
- risk_notes
- evidence_grounding
- assumptions
- validation_status
- validation_level
- handoff_destination
- owner_next_action
- priority
- urgency
- status
- learning_capture
- logging_required
- created_at
- updated_at
No technical build is authorized by this template alone.
Governance Role
HeadOffice owns the MWMS Agentic Reporting Template.
HeadOffice is responsible for:
- deciding when reports require this template
- ensuring reports are decision-ready
- preventing passive summaries from becoming operational reports
- ensuring Brain ownership is clear
- ensuring risk is visible
- ensuring reports have handoff destinations
- protecting dashboards from noise
- protecting M from vague developer reports
- protecting future AIBS clients from confusing reports
- deciding when this template is ready for operational copy or plugin/UI transformation
Individual Brains may use specialized report formats, but they must not remove core report controls for high-risk work.
Relationship To Other MWMS Standards
This template supports and must align with:
- MWMS Agentic Reporting Standard
- MWMS AI Agent Operations Core
- MWMS Agentic Work Unit Standard
- MWMS Agentic Work Unit Template
- MWMS AI Employee Role Card Standard
- MWMS AI Employee Role Card Template
- MWMS AI Workflow Pipeline Standard
- MWMS AI Workflow Pipeline Checklist
- MWMS AI Output Validation Standard
- MWMS AI Output Validation Checklist
- MWMS Messy Input Normalization Framework
- MWMS Messy Input Normalization Record
- MWMS AI Employee Handoff Protocol
- MWMS AI Employee Handoff Package Template
- MWMS AI Agent Failure Handling And Escalation Protocol
- MWMS AI Agent Outcome Measurement Framework
- MWMS AI Agent Memory And Context Framework
- MWMS AI Tool Permission And Access Framework
- MWMS Brain Routing Rule
- MWMS Brain To Brain Request Protocol
- MWMS Supabase Event Schema
- AI Business Systems Brain Blueprint
This template is the practical application of the MWMS Agentic Reporting Standard.
Drift Protection
This template protects MWMS from the following forms of drift:
- Creating summaries instead of operational reports
- Producing long reports with no decision
- Hiding verdicts inside detail
- Creating dashboard noise
- Writing reports with no owner
- Writing reports with no destination
- Writing reports with no business meaning
- Treating AI reports as final without validation
- Creating reports that duplicate existing standards
- Sending vague reports to M
- Creating client reports that are too technical or unclear
- Capturing information without action
- Mistaking report volume for progress
- Failing to log useful learning
- Allowing weak reporting to drive automation
Any important report that does not follow this template should be treated as draft only.
Architectural Intent
The architectural intent of the MWMS Agentic Reporting Template is to make reports useful inside the MWMS AI workforce system.
MWMS will increasingly depend on reports from AI Employees, workflows, Brains, dashboards, task systems, and future client systems.
The value of those reports is not how polished they sound.
The value is whether they help MWMS:
- decide
- act
- route
- validate
- learn
- reduce risk
- improve workflow
- support M
- prove client value later
The long-term goal is that every important MWMS report can answer:
- What is this report?
- Where did it come from?
- Which Brain owns it?
- What did it find?
- Why does it matter?
- What should happen next?
- What is the risk?
- Has it been validated?
- Where does it go?
- What should MWMS learn?
When MWMS reporting answers those questions consistently, reports become a management layer, not just documentation.
Change Log
v1.0 — Initial Draft
Created the MWMS Agentic Reporting Template as the practical operational template for producing decision-ready reports across MWMS.
This template operationalizes the MWMS Agentic Reporting Standard and supports Course Absorption, Newsletter Intelligence, Offer Evaluation, Research, Finance, Experimentation, Developer Support, Validation, HeadOffice Dashboard reporting, Brain Room task reporting, and future AIBS client reporting.