After months of building complex AI pipelines, I kept hitting friction points that everyone in this space knows:
- Hidden reasoning I couldn't audit
- Rules getting "forgotten" mid-conversation
- Errors cascading without recovery
- Outputs I couldn't trace to sources
- Pipeline stages that didn't communicate reliably
- Hallucinated data slipping through undetected
- No way to enforce constraints consistently
- Inconsistent output formats breaking downstream processes
- Self-checks that couldn't actually catch mistakes
- No clear priority when instructions conflicted
- Context limits forcing me to drop critical information
- Hope-based validation instead of systematic verification (especially with complex tasks and large contexts)
That's how PRISM-9 evolved.
PRISM-9 (Pipeline Reasoning with Integrated Self-Monitoring) is an AI reasoning and pipeline governance framework. It transforms opaque AI workflows into transparent, auditable systems.
| Innovation | Description |
|---|---|
| The Laws Layer | Rules designed to prevent fabrication and unverified claims. Guards against the most common failure modes. |
| 9-Step Meta-Reasoning | COMPREHEND (understand inputs), ANALYZE (map subproblems), STRATEGIZE (choose approach), PLAN (sequence actions), EXECUTE (do the work), SELF_CHECK (verify against criteria), REFINE (strengthen output), RECONCILE (resolve conflicts), SYNTHESIZE (deliver result) |
| Failure Recovery Loops | Self-check fails? System automatically retries with a new approach. |
| Schema-Driven Handoffs | Typed contracts between pipeline stages for reliable data flow. |
| Tiered Governance | Laws > Hard Constraints > Soft Constraints > Preferences |
- Clinical research with auditable literature review
- Medical writing with evidence synthesis
- Drug interaction checking with traceable sources
- Protocol development with validation gates
Benefit: Requires citation checks for medical claims. Designed for YMYL compliance.
- Contract review with clause extraction and risk assessment
- Due diligence with red flag detection
- Compliance audits with gap analysis
- Policy drafting with regulatory review
Benefit: Enforces audit logging for decisions. Produces documentation for regulatory review.
- Investment research with multi-stage analysis
- Audit preparation with control testing
- Financial analysis with verifiable calculations
- Budget planning with variance analysis
Benefit: Adds numeric validation checks. Designed to catch hallucinated figures before delivery.
- Code review with security analysis
- API documentation with working examples
- Bug investigation with root cause analysis
- Migration planning with impact assessment
Benefit: Enforces schema-validated reviews. Designed for reproducible quality checks.
- SEO content with research-backed writing
- Competitive intelligence with source verification
- Campaign planning with data-driven strategy
- Brand messaging with audience research
Benefit: Requires source verification. Designed to ground content in real data.
- Market research with tiered source quality
- Trend analysis with pattern validation
- Feasibility studies with risk assessment
- User research with theme analysis
Benefit: Requires confidence calibration for findings. Enforces uncertainty documentation.
| Traditional Prompting | PRISM-9 |
|---|---|
| "Hope it works" | "Verify it works" |
- Only state what's supported (cite the source)
- Verify before claiming (run the check, then speak)
- Block fabricated data (reject or flag anything without evidence)
- Respect all constraints (laws > hard > soft > preferences)
- Complete everything required (or return partial + errors if completion fails)
"Reasoning you can audit. Results you can trust."
PRISM-9 is dual-licensed—choose either:
- PRISM-9 Framework Documentation - Full specification, implementation guides, and working examples
- Research & Academic Foundation - Citations, comparisons, and the science behind PRISM-9
If you're building AI pipelines and running into similar problems, check it out. Contributions welcome. Open an issue or submit a PR!
Tags: #AI #PromptEngineering #LLM #OpenSource #AIGovernance #EnterpriseAI #Healthcare #LegalTech #FinTech #MarTech