[ ARCHITECTURAL_CASE_FILES ]

AI systems that remove manual work.

Examples of custom AI workflows built to cut search time, routing delays, data entry, and repetitive operational decisions.

// ASSETS_DECOUPLED: TRUE // RECOVERY_VALIDATED: YES // STACK: SOVEREIGN
OPENAI
STRIPE
HUBSPOT
VERCEL
CLERK
[ ARCHITECTURAL_CASE_FILES ]
ARCH_ID: [SCOUT_INTELLIGENCE]

AI Search Architect (ScoutLocal)

Next.js 15 • NestJS • Prisma • pgvector • Azure OpenAI • Clerk
[ STATUS: PILOT_VALIDATED ]

Context

Designed to handle vague queries like "vibey coffee spot" in under 100ms for a local services marketplace. This production-ready architecture leverages hybrid semantic + SQL ranking to cut "zero-result" screens while maintaining strict filter control.

What Was Built

  • Hybrid Search Engine: Azure OpenAI embeddings + pgvector for semantic retrieval anchored by SQL precision.
  • Infrastructure Protection: Geospatial fetching with debounced/bundled logic to cut map-related API costs.
  • Polymorphic Schema: Unified identity logic via Clerk + Prisma, decoupling auth from complex merchant entities.
Latency < 100ms
60fps Mobile Scroll Performance
View Build Example
ARCH_ID: [STRIPE_SYNTHESIS]

Stripe Solutions Architect: RAG Command Center

Gemini 2.5-LITE • GEMINI-EMBEDDING-001 • PGVECTOR • Stripe OpenAPI v3
[ STATUS: LIVE_DEMO ]

Context

Designed for instant technical design and authoritative synthesis of complex payment infrastructure. This systems architect bridges the gap between raw Stripe documentation and production-ready implementation logic.

What Was Built

  • Semantic Retrieval Layer: Leveraging gemini-embedding-001 + pgvector for sub-second context injection from the Stripe OpenAPI v3 corpus.
  • Reasoning Protocol: Decisive synthesis via Gemini 2.5-lite, ensuring zero-hallucination outputs grounded in core financial specifications.
Stripe OpenAPI v3 Grounding
Authoritative Synthesis Logic
Try Live Demo
[ 02_CORE_SYSTEMS_GRID ]

Automated Lead Routing

Leads manually sorted in spreadsheets/CRM. We deploy coded routing logic to eliminate routing latency.

→ 90% REDUCTION IN ROUTING LATENCY

Invoice Automation

Manual syncing between sales and billing. We automate CRM-to-billing parity to ensure zero tracking gaps.

→ 40 HOURS/WEEK RECLAIMED

Support Intelligence

Inconsistent responses across team. We implement faithfulness tracing to ensure technical query accuracy.

→ 3 to 5 MINUTES SAVED PER TICKET

Field Data → CRM

Manual data entry with high error rates. We deploy asynchronous ingestion protocols to eliminate manual work.

→ 100% MANUAL INGESTION ELIMINATED
[ VIEW_LEGACY_PROJECTS.LOG ]

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