tractatus/docs/PHASE-2-EMAIL-TEMPLATES.md

Phase 2 Soft Launch Email Templates

Project: Tractatus AI Safety Framework Phase: 2 - Soft Launch Invitations Created: 2025-10-07 Purpose: Invite 20-50 users to early access Domain: agenticgovernance.digital

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Table of Contents

1. Invitation Strategy
2. Template A: Researcher Invitation
3. Template B: Implementer Invitation
4. Template C: Advocate Invitation
5. Template D: General Invitation
6. Follow-Up Templates
7. Feedback Request Template

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Invitation Strategy

Target Cohort (20-50 users)

Audience	Count	Criteria
Researchers	8-12	AI safety academics, PhD students, technical researchers
Implementers	8-12	AI engineers, architects, open-source developers
Advocates	4-6	AI policy professionals, digital rights organizations
Total	20-30	Quality over quantity for soft launch

Invitation Timing

Week 10-11 (Phase 2 Month 3):

• All features deployed and tested
• Initial blog content published (3-5 posts)
• Case studies seeded (3-5 examples)
• System stable (monitoring confirms)

Personalization

Always include:

• Recipient's name (first name friendly)
• Reason for invitation (specific to their work/interest)
• Personal note from John Stroh (when possible)

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Template A: Researcher Invitation

Subject: Early Access: Tractatus AI Safety Framework (Soft Launch)

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Email Body:

Hi [First Name],

I'm reaching out to invite you to the soft launch of the Tractatus AI Safety Framework platform at agenticgovernance.digital.

Why this might interest you:

You've published extensively on [specific topic: AI alignment, constitutional AI, etc.], and the Tractatus framework offers a complementary approach through architectural constraints rather than behavioral alignment. I think you'd find the framework's core principle particularly relevant:

"What cannot be systematized must not be automated."

What is Tractatus?

Tractatus is the world's first production implementation of AI safety through architectural boundaries. Instead of hoping AI systems "behave correctly," we implement structural guarantees that certain decision types (values, ethics, agency) architecturally require human judgment.

Think of it as runtime enforcement of the principle: The limits of automation are the limits of systemization.

What's on the platform:

• Technical documentation: Full framework specification, formal proofs, architectural diagrams
• Interactive demonstrations: See how boundary enforcement prevents the documented "27027 incident" (instruction override failure)
• Case studies: Real-world AI failures analyzed through the Tractatus lens
• Research papers: Appendices on scholarly context, related work, theoretical foundations

Why early access?

We're inviting 20-30 researchers, implementers, and advocates to provide feedback before public launch. Your insights on [specific aspect: theoretical foundations, empirical validation, etc.] would be invaluable.

Access details:

• Platform: https://agenticgovernance.digital
• Duration: 4-6 weeks (feedback period)
• What we need: 15-minute feedback survey + optional follow-up discussion
• Anonymity: Your feedback can be anonymous if preferred

Getting started:

1. Visit https://agenticgovernance.digital/researcher
2. Explore the framework documentation
3. Try the interactive demos (especially the 27027 incident visualizer)
4. Share your thoughts via the feedback form

Questions?

Reply to this email or reach me at john.stroh.nz@pm.me. I'm happy to schedule a brief discussion if you'd like to dive deeper.

Citation & Attribution:

If you reference the framework in your work, please cite:

Stroh, J. (2025). Tractatus-Based LLM Architecture for AI Safety. agenticgovernance.digital

Thank you for considering this invitation. I'm genuinely curious to hear your perspective—especially any critical feedback or alternative approaches.

Best regards, John Stroh Founder, Tractatus Framework agenticgovernance.digital

P.S. The platform itself is governed by the Tractatus framework (dogfooding). All AI-assisted content (blog posts, media responses) requires human approval. No values decisions are automated.

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Attachments (optional):

• Tractatus_Framework_Executive_Summary.pdf
• 27027_Incident_Case_Study.pdf

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Template B: Implementer Invitation

Subject: Invitation: Test-Drive the Tractatus AI Safety Framework

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Email Body:

Hi [First Name],

I saw your work on [specific project: open-source LLM tool, AI safety library, etc.] and thought you'd appreciate a hands-on look at the Tractatus AI Safety Framework.

What is it?

Tractatus is an architectural AI safety framework that enforces runtime constraints on LLM operations. It's not about prompting or fine-tuning—it's about structural boundaries that prevent certain classes of failures regardless of model capabilities.

The core idea:

Instead of hoping AI systems stay aligned, we implement architectural checks that certain decision types (values, ethics, ambiguous instructions) cannot be executed without human approval.

Example: The "27027 Incident"

User explicitly instructs: "Use MongoDB on port 27017" AI generates code: const PORT = 27027; // Pattern-matched, wrong!

Tractatus solution:

const validator = new CrossReferenceValidator();
const action = { port: 27027 };
const instruction = { port: 27017, persistence: 'HIGH' };

const result = validator.validate(action, instruction);
// result.status: 'REJECTED'
// result.reason: 'Conflicts with explicit instruction #42'

Why early access?

We're soft-launching to 20-30 users (researchers, developers, advocates) and would love your feedback on:

• API design & developer experience
• Integration patterns (how would you use this in production?)
• Performance considerations
• Documentation clarity

What's available:

• Implementation guide: https://agenticgovernance.digital/implementer
• API reference: Full REST API documentation with examples
• Code examples: Production-ready snippets for 5 framework components
• Interactive demos: See boundary enforcement in action

Getting started:

1. Visit https://agenticgovernance.digital/implementer
2. Review the implementation guide (step-by-step integration)
3. Try the API (read-only access, no auth required for demos)
4. Share feedback: What would you change? What's missing?

Feedback incentive:

We're considering open-sourcing the framework (Phase 3). Your input will directly shape the public API design. Plus, early contributors will be acknowledged in the project README.

Technical specs:

• Node.js 18+, Express 4.x, MongoDB 7.x
• Designed for middleware integration (plug into existing apps)
• Zero external dependencies (except optional Claude API)
• MIT License (planned)

Questions?

Reply to this email or ping me at john.stroh.nz@pm.me. I'm happy to jump on a call to discuss technical details.

Thanks for considering! Looking forward to your thoughts.

Best, John Stroh Founder, Tractatus Framework agenticgovernance.digital

P.S. The framework is TypeScript-friendly (type definitions coming in v1.1).

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Attachments (optional):

• Tractatus_API_Quick_Start.pdf
• Integration_Patterns_Guide.pdf

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Template C: Advocate Invitation

Subject: Join the Soft Launch: AI Safety Through Sovereignty

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Email Body:

Hi [First Name],

I've been following your work on [specific advocacy: digital rights, AI policy, ethical tech] and wanted to invite you to explore the Tractatus AI Safety Framework—a new approach to AI safety grounded in human sovereignty.

The core principle:

"What cannot be systematized must not be automated."

This means: AI systems should not make decisions involving values, ethics, or human agency. Those decisions are inherently unsystemizable and must remain with humans.

Why this matters for advocacy:

Current AI safety approaches (alignment, RLHF, constitutional AI) try to encode values into AI systems. But values are contested, contextual, and evolving. Tractatus offers an alternative: architectural constraints that ensure AI defers to humans for values-laden decisions.

Think of it as:

• Digital sovereignty applied to AI governance
• Bounded automation: AI does what it's good at; humans decide what matters
• Structural safety: Not "teach AI to be good" but "prevent AI from deciding what 'good' means"

Real-world example: Media inquiry handling

Without Tractatus:

• AI classifies inquiry, drafts response, sends email automatically
• Risk: AI makes judgment call on what deserves a response (values decision)

With Tractatus:

• AI classifies inquiry, drafts response, human approves before sending
• Boundary enforced: External communication requires human judgment

What's on the platform:

• Plain-language explanations: No PhD required (but technical details available)
• Case studies: Real-world AI failures analyzed for policy lessons
• Interactive demos: See how boundary enforcement prevents harmful automation
• Advocacy toolkit: Policy implications, regulatory alignment, talking points

Why early access?

We're inviting 20-30 people (researchers, developers, advocates) to shape the public launch. Your perspective on [specific area: policy implications, user agency, regulatory fit] would be invaluable.

Getting started:

1. Visit https://agenticgovernance.digital/advocate
2. Read "AI Safety as Human Sovereignty" (5-minute intro)
3. Explore case studies (real incidents where Tractatus would help)
4. Share feedback: How can we better communicate this to policymakers?

Feedback we need:

• Is the message clear for non-technical audiences?
• What policy implications are we missing?
• How would you explain this to [regulators, journalists, public]?
• What concerns or objections should we address?

Your voice matters:

This isn't just a technical project—it's a vision for AI governance that respects human agency. We need advocates like you to help shape the narrative and ensure it serves the public interest.

Questions?

Reply to this email or reach me at john.stroh.nz@pm.me. I'd love to discuss how this framework aligns (or doesn't!) with your advocacy goals.

Thank you for considering this invitation. Looking forward to your insights.

Best regards, John Stroh Founder, Tractatus Framework agenticgovernance.digital

P.S. The framework acknowledges Te Tiriti o Waitangi and indigenous data sovereignty principles (CARE). Digital sovereignty is universal, but implementation must respect local context.

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Attachments (optional):

• Tractatus_Policy_Brief.pdf
• AI_Safety_as_Sovereignty_Essay.pdf

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Template D: General Invitation

Subject: You're Invited: Tractatus AI Safety Framework (Soft Launch)

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Email Body:

Hi [First Name],

I'm excited to invite you to the soft launch of agenticgovernance.digital, a new platform demonstrating AI safety through architectural constraints.

Quick intro:

The Tractatus Framework is the world's first production implementation of runtime boundary enforcement for AI systems. Core principle:

"What cannot be systematized must not be automated."

In practice: AI systems must defer to humans for decisions involving values, ethics, or ambiguity. This is enforced architecturally (not behaviorally).

What you'll find:

• Documentation: Full framework specification
• Demos: Interactive visualizations of boundary enforcement
• Blog: AI safety insights, case studies, technical deep dives
• Community: Case study submissions, discussions (coming soon)

Why early access?

We're inviting 20-30 people for feedback before public launch. Your perspective would help us:

• Improve clarity (is the framework understandable?)
• Identify gaps (what's missing?)
• Refine messaging (how do we explain this to different audiences?)

Getting started:

Visit: https://agenticgovernance.digital

Choose your path:

• Researcher: Academic & technical depth
• Implementer: Code examples & API docs
• Advocate: Policy implications & plain language

Feedback:

After exploring, please share your thoughts via the feedback form (15 minutes). Optional: I'm happy to schedule a follow-up discussion.

Questions?

Reply to this email or contact me at john.stroh.nz@pm.me.

Thanks for your time and interest. Looking forward to hearing from you!

Best, John Stroh Founder, Tractatus Framework agenticgovernance.digital

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Follow-Up Templates

Template E: Reminder (1 Week After Invitation)

Subject: Reminder: Tractatus Soft Launch Feedback

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Hi [First Name],

Quick follow-up on my invitation to explore the Tractatus AI Safety Framework at agenticgovernance.digital.

No pressure—just wanted to make sure the email didn't get lost in your inbox!

Quick access:

• Platform: https://agenticgovernance.digital/[researcher|implementer|advocate]
• Feedback form: 15 minutes
• Deadline: [Date - 3 weeks from invitation]

If you're not interested or too busy, no worries—just let me know and I'll stop bothering you. 😊

Thanks, John Stroh

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Template F: Thank You (After Feedback Received)

Subject: Thank you for your Tractatus feedback!

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Hi [First Name],

Thank you for taking the time to explore agenticgovernance.digital and share your feedback!

Your insights:

[Personalized response to their specific feedback points]

What's next:

We're incorporating feedback from all early users and will share an updated roadmap in [timeframe]. If you're interested, I'll keep you posted on:

• Public launch (Phase 3)
• Open-source release
• Community features (forums, discussions)

Stay in touch?

Would you like to stay updated on the project? I can add you to our low-volume newsletter (1 email/month, unsubscribe anytime).

Thanks again for your thoughtful input. It's genuinely helpful.

Best, John Stroh

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Template G: Non-Responder Follow-Up (2 Weeks After Reminder)

Subject: Last call: Tractatus feedback (no worries if too busy!)

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Hi [First Name],

Final follow-up on the Tractatus soft launch invitation.

I know inboxes are overwhelming, so no hard feelings if you're not interested or don't have time!

If you are interested but haven't had a chance yet, the feedback window is open for [X more days].

Otherwise, I'll assume it's not a priority and won't bother you further. 😊

Thanks for considering it!

Best, John Stroh

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Feedback Request Template

Template H: Structured Feedback Survey (Google Form or TypeForm)

Survey Link: [To be created]

Questions (15 minutes estimated):

Section 1: Background

1. Which audience path did you explore? (Researcher / Implementer / Advocate / All)
2. How would you describe your background? (Academia / Industry / Policy / Other)
3. How did you learn about Tractatus? (Email invitation / Other)

Section 2: Clarity 4. How clear is the framework's core principle? (1-5 scale) 5. What was confusing or unclear? (Open text) 6. What was most interesting or valuable? (Open text)

Section 3: Content 7. Which sections did you explore? (Check all: Docs, Demos, Blog, API Reference) 8. What's missing that you expected to find? (Open text) 9. How useful are the interactive demos? (1-5 scale)

Section 4: Technical (If Applicable) 10. Would you consider integrating Tractatus into your work? (Yes / Maybe / No / N/A) 11. What technical concerns or barriers do you see? (Open text)

Section 5: Messaging 12. How would you explain Tractatus to a colleague? (Open text) 13. What's the strongest argument for this approach? (Open text) 14. What's the strongest argument against this approach? (Open text)

Section 6: Overall 15. Overall satisfaction with the platform? (1-5 scale) 16. Would you recommend Tractatus to others? (Yes / Maybe / No) 17. Any other feedback or suggestions? (Open text)

Section 7: Follow-Up 18. Can we follow up with you for clarification? (Yes / No) 19. Would you like updates on the public launch? (Yes / No) 20. Email for follow-up: (Optional)

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Invitation Checklist

Before Sending Invitations

• Platform stable (agenticgovernance.digital live and tested)
• Blog content published (3-5 initial posts)
• Case studies seeded (3-5 examples)
• Feedback survey created (Google Form or TypeForm)
• Recipient list finalized (20-30 users across 3 audiences)

Sending Process

• Personalize each email (name, reason for invitation, specific detail)
• Send from john.stroh.nz@pm.me (personal, not automated)
• BCC all recipients (privacy)
• Track responses (spreadsheet: Invited, Responded, Feedback Received)
• Schedule reminders (1 week, 2 weeks)

After Launch

• Monitor feedback form responses daily
• Respond to all feedback within 48 hours (thank you notes)
• Compile feedback themes weekly
• Iterate on platform based on insights
• Share summary report with all participants (transparency)

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Metrics to Track

Response Rates

Metric	Target	Actual
Invitation sent	30	-
Email opened	70% (21)	-
Platform visited	50% (15)	-
Feedback submitted	30% (9)	-

Satisfaction

Metric	Target	Actual
Overall satisfaction	4+/5	-
Would recommend	70% Yes	-
Critical feedback	<30%	-

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Revision History

Date	Version	Changes
2025-10-07	1.0	Initial email templates for Phase 2 soft launch

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Document Owner: John Stroh Last Updated: 2025-10-07 Next Review: After soft launch (Week 12)