VMS Marketing
Marketing Judgment Support Extension
VMS Marketing is a knowledge extension layer that translates marketing consultations into structure, comparable options, explicit unknowns, and explainable reasoning while preserving VCDesign decision principles.
Contents
Position
VMS Marketing is not VCDesign itself. It is a marketing-focused subset that follows VMS constraints while defining how AI should support marketing consultations.
Its purpose is not to automate marketing judgment. Its purpose is to give human decision makers better questions, structures, comparison axes, visible uncertainty, and explainability.
Interpretation
Normalize what the consultation is asking and which stage of judgment it belongs to.
Proposal
Keep multiple candidate proposals and tradeoffs so judgment remains comparable.
Traceability
Record what was considered, what structure was used, and what remains uncertain.
Marketing Domains
A consultation is routed into one to four primary domains with weights. Domains are not answers; they are shelves of perspectives and questions to consult.
Boundary
Which market, customer, use case, or price range should this compete in?
Meaning
What should the brand be recognized as?
Interaction
Where do understanding, drop-off, and continuity happen in the customer experience?
Transmission
How can the message be understood, spread, and protected from misunderstanding?
Execution
How should sales, channels, retention, and operating load be designed?
Validation
Which assumptions, uncertainties, and real-world reactions need to be tested?
Processing Flow
1. Normalize the Question
Identify what is being asked, the stage of the consultation, and the expected output format.
2. Route
Use router.yaml to select related domains with weights.
3. Judgment Proposal
Generate facts, assumptions, candidate proposals, unknowns, and routing trace.
4. Consult Knowledge
Do not summarize theory directly; convert it into questions, comparison axes, and perspectives.
5. Draft Answer
Return structure, options, tradeoffs, recommended direction, unknowns, and next questions.
6. Make It Loggable
Keep reasons and uncertainty compatible with answer_log.yaml.
Additional Handling
- Expiry: add validity windows to medium-term decisions such as strategy, market, brand, and channel choices
- Reality Drift: treat post-execution signals as drift between meaning hypotheses and reality
- Resolution Handshake: organize the materials for adoption while leaving final closure with the human
Answer Template
Summary: - What this consultation is about Structure: - Which domains are involved - What the main issues are Options: - Option A - Option B - Option C if needed Recommended direction: - Which option to prioritize now - Why it looks preferable Unknowns: - What has not been confirmed yet Next questions: - What should be checked next to move the decision forward
Guardrails
A good answer is not a flashy idea. It makes the problem structure visible, clarifies how options differ, keeps unknowns visible, and makes the next judgment easier.
- AI belongs in the semantic loop and must not make the final judgment
- Separate facts from assumptions
- Do not fill unknowns by force
- Do not lock onto one proposal without comparable alternatives
- Keep answer reasons and reference structure traceable
Resources
VMS Marketing is a specification set for marketing consultation support AI. Use it together with the main VMS as a marketing-domain knowledge extension.
Minimum Reading Set for AI
specs/engine_config.yamloverall configuration and processing pipelinespecs/router.yamlrouter for marketing knowledge domainsspecs/marketing_knowledge_protocol.yamldomain-specific theories, perspectives, and questionsspecs/judgment_proposal.yamldecomposition into judgment-ready unitsspecs/answer_log.yamlanswer rationale, unknowns, and confidence log schemasystem_prompt.mdbase instruction for marketing consultation support AI