Production AI systems.
A curation of deployed AI systems, each representing a specific constraint in scalability, reasoning, or automation solved through strict engineering execution.

Stockpile
Architectural Approach
- Validate every write path
- Gate AI actions by rules
Build Notes
Fail-closed outputs, auto-repair, async processing for long jobs.

Commercial Proposal Engine
Architectural Approach
- Separate math from drafting
- Enforce schema and template
Build Notes
Spend caps, retries, strict parsing for repeatable exports.

Cognitive Security Engine
Architectural Approach
- Anchor findings to clauses
- Score worst-case exposure
Build Notes
Traceable outputs, safe degradation, throttling for resilience.

Sentinel
Architectural Approach
- Convert questions to queries
- Return verified aggregates
Build Notes
Aggregates computed server-side, spend controls enforced before runs.

Blackletter
Architectural Approach
- Pull primary sources live
- Link every claim to authority
Build Notes
Authority separated from analysis for fast review and auditability.

MedIntel
Architectural Approach
- Force structured extraction
- Enforce rate and spend caps
Build Notes
SpaCy extraction with deterministic fallback for stable outputs.

Clearworth
Architectural Approach
- Interpret intent into actions
- Compute totals deterministically
Build Notes
Anti-loop safeguards and spend caps for predictable automation.

Highground
Architectural Approach
- Extract fields first
- Route tasks by complexity
Build Notes
HTML cleaning pre-model, schema-checked output, quota enforcement.

Arcadia
Architectural Approach
- Apply pedagogy rules upfront
- Enforce payload and rate limits
Build Notes
Validation schemas and safety limits for deployment-grade reliability.

Brand Strategy Engine
Architectural Approach
- Map competitors and tradeoffs
- Output rules as structure
Build Notes
Schema checks and sanitizers keep output consistent across surfaces.