Support‑First Logic Engine

Governance-first safety for support-critical AI

Sell safety you can enforce.

SELF is a runtime governance engine that prevents emotional-harm failures in AI systems. It applies support-first behavioral constraints, validation rules, and audit-ready outputs so your product can scale without “safety drift”.

TL;DR Who SELF is for and what it does in practice

Who SELF is for

  • Support/care experiences where mistakes create real harm
  • Products that must behave reliably under emotional load
  • Support-critical AI surfaces that can’t drift quietly
  • Teams that need auditability for enterprise/procurement
  • Builders who want governance as runtime reality, not paperwork

What you get

  • S0–S3 posture selection + enforceable constraints
  • Draft validation/repair before anything reaches users
  • Immutable logging hooks for review and incident response
  • Integration as SDK or self-hosted HTTP service

SELF is a governance layer. You still own your model choice, integration, compliance, and human escalation paths.

What you get

  • State detection (S0–S3) and policy selection
  • Hard caps (words, questions) + banned-phrase enforcement
  • Repair + validation pipeline for drafts
  • Audit logging hooks and override-prevention guardrails
  • HTTP API mode (self-host) for fast integration
Deploy Library or HTTP service
Target Support / care / crisis-adjacent UX

Product

SELF is built to prevent “it sounded helpful” from becoming “it caused harm.” It does this by turning governance into executable rules, not brand promises. SELF makes your “safety policy” something the system has to obey, not something written in a PDF.

Measurable constraints

Word caps, question caps, disallowed phrases, and output validation enforced at runtime.

State-aware posture

Different response posture and constraints for low-risk vs. elevated distress scenarios.

Audit-ready operations

Structured events for pre/post decisions so teams can review, monitor, and improve responsibly.

Where SELF sits in your stack

SELF makes governance observable and enforceable before responses ship.

S0–S3 posture flow

As risk rises, SELF tightens constraints and escalates to required safety behaviors.

Integrate in hours, not quarters

SELF can run as a library inside your app or as a small HTTP service you call from any stack.

In practice

Two anonymized examples showing how constraints and state posture turn into real behavior.

B2B SaaS support assistant

Surface
Billing/account support inside your product.
Risk
Hallucinated policy promises, inconsistent refunds, escalation gaps.
SELF enforces
Policy‑bound wording, required evidence before claims, caps + validation, audit logs.
Result
Fewer “helpful” promises that become liabilities; procurement-ready traceability.

Youth wellbeing check‑in

Surface
Daily check-ins and emotional support prompts.
Risk
Distress escalation, boundary drift, responses that feel confident but unsafe.
SELF enforces
State posture (S2/S3), required crisis resources, strict question caps, no unsafe content.
Result
Reliable behavior under emotional load; governance is enforceable, not aspirational.

Pricing

SELF is an SDK. Pricing separates the Core license (MAU-tiered) from optional Assurance Proof and optional managed add-ons.

SELF Core (MAU-tiered)

$300/month

Starter (≤ 5,000 MAU) · Non-exclusive license

Tier
MAU
Price
Starter
≤ 5,000
$300/mo
Growth
≤ 25,000
$750/mo
Scale
≤ 100,000
$2,000/mo
Enterprise
> 100,000
Annual (from $36k/yr)

Support: 48h email (Starter), faster on higher tiers.

Request a license

Notes

  • Production use requires Values‑First evaluation and ongoing compliance.
  • Self-hosted deployment; you control infrastructure and model provider costs.
  • Optional managed add-ons are usage-billed (e.g., managed evaluation runs, hosted telemetry).

Trust & safety posture

SELF is not “safety marketing.” It is safety engineering: enforceable constraints, observable decisions, and integrity controls designed to hold up under emotional load and resist quiet weakening over time.

No silent downgrades

Override prevention and immutable governance boundaries help protect the system’s integrity.

Operational accountability

Pre/post logging hooks support monitoring, incident response, and periodic audits.

Disclaimer: SELF is a governance layer for AI behavior. It is not a medical device, does not provide professional diagnosis, and does not replace clinical or emergency services.

HTTP API mode

Run SELF as a small HTTP service and call it from any stack.

npm run build
SELF_HTTP_PORT=8787 SELF_HTTP_API_KEY=your_key npm run start:http

Pre

POST /v1/pre returns detection, policy, variant, and clarifier requirements.

Post

POST /v1/post validates and repairs a drafted response to match the policy.

Health

GET /health returns service + doctrine metadata for monitoring.

Example: preflight
curl -sS http://localhost:8787/v1/pre \\
	  -H "Authorization: Bearer $SELF_HTTP_API_KEY" \\
	  -H "Content-Type: application/json" \\
	  -d '{
	    "message": "I feel like I can\\u2019t do this anymore.",
	    "history": []
	  }'
Example: validate/repair
curl -sS http://localhost:8787/v1/post \\
	  -H "Authorization: Bearer $SELF_HTTP_API_KEY" \\
	  -H "Content-Type: application/json" \\
	  -d '{
	    "userMessage": "I feel like I can\\u2019t do this anymore.",
	    "output": "I\\u2019m here with you. You\\u2019re not alone...",
	    "policy": { }
	  }'

FAQ

Is this a chatbot?

No. SELF is the governance layer around your chatbot (or support workflow): detection, constraints, validation, and enforcement.

Do you sell exclusive ownership?

No. SELF is licensed for production use with MAU-tiered pricing and compliance requirements.

Can we negotiate pricing?

Core pricing is published. Enterprise contracts can vary in terms (SLA/procurement/review cadence), but we won’t weaken safety requirements to win deals.

Getting started

A simple path from “interested” to “running in production.”

1

Contact

Share your use case, user population, and the support surfaces you’re protecting.

2

Values‑First evaluation

We map required constraints, escalation paths, and evidence you’ll need for stakeholders.

3

Integrate + monitor

Deploy SDK or HTTP mode, wire logging hooks, and lock safety boundaries against drift.

Request access

Tell us your use case, risk profile, and expected usage volume. We’ll share next steps for evaluation and onboarding.

  • Company + product overview
  • Intended user population and support scope
  • Expected MAU and protected surfaces
  • Escalation path (human support / crisis resources)

Contact

Email is the fastest path right now.

Include: product overview · user population · support scope · expected MAU · escalation path.