The Big Picture
Building AI agents is exciting, but it comes with real risks:- Cost spirals - A bug in your agent loop costs $10,000 overnight
- Security breaches - Your agent leaks customer PII to an LLM
- Reliability issues - Rate limits crash your production system
- Compliance gaps - No audit trail when regulators ask questions
Core Goals
1. Make AI Governance Deterministic
The problem: You can’t trust systems that behave unpredictably. Our goal: Same input + same policy = same decision. Every time.- You can debug issues by replaying decisions
- Audit logs are meaningful and defensible
- Your team can trust the system won’t surprise them
2. Unify Cost, Security, and Reliability Governance
The problem: Siloed tools create gaps and complexity. Our goal: One policy framework for all AI governance concerns.- One SDK, one audit model, one enforcement mechanism
- Consistent governance across your entire AI system
- Easier to understand, maintain, and evolve
3. Be Developer-First
The problem: Governance tools that require UI workflows slow teams down. Our goal: SDK-first design that fits naturally into your code.- Minimal integration friction
- Works in CI/CD pipelines
- No dependency on dashboards or UIs
- Developers stay in their flow
4. Make Every Decision Auditable
The problem: “Why was this blocked?” shouldn’t be a mystery. Our goal: Every decision produces structured audit events with clear explanations.- Compliance teams get the evidence they need
- Developers can debug policy behavior
- Security teams can investigate incidents
- Regulators get defensible audit trails
5. Stay Focused and Composable
The problem: Monolithic platforms create lock-in and complexity. Our goal: Do one thing well and integrate with everything else. What TealTiger does:- Policy evaluation
- Cost tracking
- Security guardrails
- Audit logging
- Model hosting (use OpenAI, Anthropic, etc.)
- Identity management (use your IAM)
- Log analytics (use your SIEM)
- Secrets handling (use your KMS)
- No vendor lock-in
- Works with your existing stack
- Safe to adopt incrementally
- Easy to remove if needed
6. Enable Scalable Policy Design
The problem: Monolithic policies become unmaintainable. Our goal: Compose policies by concern, scale from simple to complex.- Policies evolve safely as systems grow
- Easy to review and test individual policies
- Clear separation of concerns
7. Reduce Surprise, Increase Trust
The problem: “Magic” systems that hide their logic destroy trust. Our goal: No hidden heuristics, no undocumented behavior, no surprises. How we achieve this:- Deterministic evaluation (same input = same output)
- Clear reason codes (explains why)
- Stable behavior across versions
- Comprehensive documentation
- Developers trust the system
- Security teams can rely on enforcement
- Compliance teams get defensible evidence
8. Enable Fast, Safe Innovation
The problem: Governance shouldn’t slow teams down. Our goal: Act as guardrails, not blockers. How we achieve this:- Three policy modes: REPORT_ONLY → MONITOR → ENFORCE
- Gradual rollout strategy
- Fail fast when constraints are violated
- Clear feedback on what’s allowed
- Teams can experiment safely within boundaries
- Policies catch risky behavior early
- Innovation happens faster, not slower
9. Provide a Stable Foundation
The problem: Breaking changes destroy trust and slow adoption. Our goal: Stable primitives that support safe evolution. Our guarantees:- Same input + same policy = same output (within a version line)
- Audit schema won’t change (within a version line)
- Reason codes keep their meaning (within a version line)
- New features are additive, not breaking
- You can build on TealTiger with confidence
- Policies work across versions
- Audit logs remain valid long-term
- Future features don’t break existing code
What Success Looks Like
TealTiger is successful when: ✅ Developers understand why decisions happen - No mysteries, no surprises✅ Security teams trust audit evidence - Defensible, reproducible records
✅ Cost controls are predictable - No unexpected bills
✅ Governance feels boring - Reliable, explicit, deterministic If governance feels magical or surprising, we’ve failed.
Real-World Example
Here’s how all these goals come together:How These Goals Guide Design
Every feature in TealTiger is evaluated against these goals:
If a feature doesn’t support these goals, we don’t build it.
Related Reading
Non-Goals
What TealTiger intentionally avoids
Anti-Patterns
Common mistakes to avoid
Best Practices
How to use TealTiger effectively
Decision Philosophy
Why determinism matters

