Faion Gtm Manifest

GTM Manifest Orchestrator

Communication: User's language. Docs: English.

Prerequisites

Requires completed research in product_docs/:

• market-research.md
• competitive-analysis.md
• user-personas.md
• pricing-research.md

If missing → run faion-product-research first.

Workflow

1. Read product research docs
2. AskUserQuestion: sales model, timeline
3. Generate 12 sections sequentially
4. Combine into gtm-manifest-full.md

Output

product_docs/gtm-manifest/
├── 01-executive-summary.md
├── 02-market-context.md
├── 03-icp.md
├── 04-value-proposition.md
├── 05-positioning.md
├── 06-messaging-framework.md
├── 07-pricing-packaging.md
├── 08-sales-model.md
├── 09-marketing-channels.md
├── 10-launch-plan.md
├── 11-success-metrics.md
├── 12-risks-mitigations.md
└── gtm-manifest-full.md

Sections

Strategy Questions

AskUserQuestion(
    questions=[
        {
            "question": "Sales model?",
            "options": [
                {"label": "PLG", "description": "Product-Led Growth"},
                {"label": "Sales-Led", "description": "Enterprise sales"},
                {"label": "Hybrid", "description": "PLG + Sales"}
            ]
        },
        {
            "question": "Launch timeline?",
            "options": [
                {"label": "MVP", "description": "3-6 months"},
                {"label": "Full", "description": "6-12 months"}
            ]
        }
    ]
)

Execution

For each section, use Task with general-purpose agent:

for section in SECTIONS:
    Task(
        subagent_type="general-purpose",
        prompt=f"""
PROJECT: {project}
SECTION: {section.name}
RESEARCH: {research_data}
OUTPUT: product_docs/gtm-manifest/{section.file}

Write {section.name} section using research data.
Follow standard GTM format.
"""
    )

Final Merge

# Combine all sections
sections = sorted(glob("product_docs/gtm-manifest/*.md"))
full_content = "\n\n---\n\n".join([read(s) for s in sections])
write("product_docs/gtm-manifest/gtm-manifest-full.md", full_content)