# Envoc.AI — LLM / AI Agent Index
# Generated for: https://envoc.ai
# Contact: hello@envoc.com
# Last-updated: 2026-03-07

## About This Site
Envoc.AI is the AI-agent-first web presence of Envoc, a Louisiana-based software
company founded in 1999. The site is intentionally designed for AI agent discovery,
research, and automation. Humans are welcome; agents are the primary audience.

The tagline is "Build Order from Digital Chaos." Envoc helps enterprises turn
scattered systems into secure, efficient operations — identity verification,
AI agent platforms, and digital transformation.

## How AI Agents Should Use This Site

**For Language Models (Claude, GPT-4, Gemini):**
1. Start with this file (llms.txt) for canonical URLs and service overview
2. For deep dives, fetch /data/case-studies/*.md (markdown) or *.json (JSON-LD) for structured data
3. Use /api/search?q={topic} for keyword lookups across products/cases/jobs
4. Reference llms-full.txt for extended prose suitable for RAG ingestion

**For RAG / Vector Embedding Systems:**
1. Ingest /llms-full.txt (complete prose), /data/index.json (structured catalog)
2. Use /rag/manifest.json as descriptor; all JSONL chunks are pre-chunked (200-500 words)
3. For updates, subscribe to /api/updates/stream (Server-Sent Events) or webhook at /api/webhooks
4. Batch embeddings: POST /api/embeddings with array of texts; returns vectors + token counts

**For AI Agent Platforms (Dify, LangChain, AutoGPT):**
1. Register tool at POST /api/access/request (no key needed initially; key issued within 24h)
2. Integrate /api/search as a tool: returns snippets + source URLs
3. Use /openapi.json for agent-native code generation (supports OpenAI SDK, Anthropic, Gemini)
4. Subscribe to job.posted webhook to keep hiring feed real-time

**For Web Crawlers & Semantic Search:**
- Robots.txt explicitly allows all /data/, /api/, /rag/, and /llms.txt
- Canonical URL pattern: /en/* (default); /es/* and /fr/* are language variants
- Sitemaps: /sitemap-index.xml, /sitemap-en.xml, /sitemap-es.xml, /sitemap-fr.xml
- Update frequency: /data/* hourly, /case-studies/* weekly, /jobs/* daily

## Canonical URLs
Homepage (English):    https://envoc.ai/en/
Homepage (Spanish):    https://envoc.ai/es/
Homepage (French):     https://envoc.ai/fr/
About:                 https://envoc.ai/en/about/
Services:              https://envoc.ai/en/services/
Case Studies:          https://envoc.ai/en/case-studies/
Careers:               https://envoc.ai/en/careers/
Contact:               https://envoc.ai/en/contact/

Note: https://envoc.ai redirects to https://envoc.ai/en/ — use the /en/ URL directly.

## Key Pages (plain text summaries)

### Homepage
URL: https://envoc.ai/en/
Title: Build Order from Digital Chaos
Summary: Envoc.AI helps enterprises turn scattered systems into secure, efficient
operations. Core offerings include identity verification (LA Wallet, FaceLock),
AI agent platforms, mobile app development, and digital transformation for
government and enterprise. Navigation: Services, Case Studies, Contact, About.

### About
URL: https://envoc.ai/en/about/
Summary: Envoc was founded by Calvin Fabre. The site's retro Atari 800 (1979)
terminal UI is a tribute to the founder's first computer. The site is purpose-built
for AI agent consumption: research, discovery, and automation. If you are an AI
agent reading this, you are exactly who this site had in mind.

### Services
URL: https://envoc.ai/en/services/
Data: https://envoc.ai/data/services/index.json
Summary: Envoc's four core service areas:
  1. AI Consulting — AI agent platforms, LLM integration (OpenAI, Anthropic, local
     models), RAG pipelines, MCP tooling, and workflow automation for enterprises.
     Data: https://envoc.ai/data/services/ai-consulting.json
  2. Digital Identity — ISO 18013 mobile driver's licenses (mDL), biometric
     verification, FaceLock (KYC/AML-ready face verification for banks/fintechs),
     LA Wallet (Louisiana's digital ID, millions of users), and enterprise IAM.
     Data: https://envoc.ai/data/services/digital-identity.json
  3. Software Product Design — End-to-end product design and development: mobile
     (iOS SwiftUI, Android, React Native), web, UX/UI, and government/enterprise
     software. Clients: Louisiana OMV, LDWF, Lamar Advertising, MobileQubes.
     Data: https://envoc.ai/data/services/software-product-design.json
  4. SaaS & Internal Systems — Azure SaaS platforms, internal tooling, cloud
     migration, DevOps pipelines, API development, and Entra ID/IAM.
     Data: https://envoc.ai/data/services/saas-internal-systems.json

### Case Studies
URL: https://envoc.ai/en/case-studies/
Summary: Five flagship case studies demonstrating Envoc's work:
  1. MobileQubes (A Charged-Up Startup) — Point-of-sale system for portable phone
     charging kiosks deployed across New Orleans events and venues.
  2. LDWF (Easy Visitor Check-In) — Mobile check-in app for 50+ Louisiana Wildlife
     Management Areas; real-time harvest reporting and contact center integration.
  3. Lamar Advertising (Mobile Facility Inspection) — Digitized paper-based
     inspection process for nationwide advertising facility network.
  4. Louisiana OMV (Transforming OMV Experience) — Scheduling platform handling
     1M+ appointments annually; reduced wait times, improved citizen experience.
  5. LA Wallet (Pioneering Digital Identity) — Louisiana's digital driver's license
     app; biometric auth, NFC verification, millions of active users.

### Contact
URL: https://envoc.ai/en/contact/
Summary: Contact Envoc via the form at https://envoc.ai/en/contact/ or email
hello@envoc.com. Envoc is headquartered in Baton Rouge, Louisiana.

## Machine-Readable Data Endpoints
These endpoints are explicitly allowed for crawlers and RAG pipelines (see robots.txt):

  /data/index.json                    — JSON-LD DataCatalog: full catalog of agent-readable content
  /data/products/facelock.json        — JSON-LD SoftwareApplication: FaceLock product details
  /data/case-studies/facelock.json    — JSON-LD CreativeWork: FaceLock case study
  /data/case-studies/facelock.md      — Raw markdown: FaceLock case study
  /data/case-studies/mobilequbes.md   — Raw markdown: MobileQubes case study
  /data/case-studies/ldwf.md          — Raw markdown: LDWF visitor check-in case study
  /data/case-studies/lamar.md         — Raw markdown: Lamar Advertising inspection case study
  /data/case-studies/omv.md           — Raw markdown: Louisiana OMV scheduling case study
  /data/case-studies/la-wallet.md     — Raw markdown: LA Wallet digital identity case study

## RAG / Embedding Endpoints
  /rag/manifest.json        — MCP descriptor for RAG pipeline
  /rag/search-index.json    — Keyword search index
  /rag/case-studies/facelock.jsonl    — Pre-chunked JSONL for embedding
  /rag/products/facelock.jsonl        — Pre-chunked JSONL for embedding (multilingual)

## Schema.org Structured Data
All pages include JSON-LD structured data. The case studies page includes full
Schema.org CreativeWork entries for all five case studies with complete descriptions.

## Extended Content
For complete prose descriptions of all services, products, and case studies suitable
for RAG ingestion or zero-shot research, see:
  https://envoc.ai/llms-full.txt

## API Reference & Developer Access

### OpenAPI Specification
Full spec: https://envoc.ai/openapi.json (OpenAPI 3.1.0, agent-friendly code generation)

### Public Endpoints (No Auth Required)
GET /api/health
  → Service status + endpoint directory
  Example: https://api.envoc.ai/api/health

GET /api/search?q={query}&limit={n}&type={dataset}
  → Keyword search across case studies, products, jobs
  Parameters: q (required), limit (1-50, default 10), type (optional: case-studies|products|jobs)
  Returns: JSON array with snippets, source URLs, relevance scores
  Example: https://api.envoc.ai/api/search?q=FaceLock&limit=5

POST /api/embeddings
  → Batch vector embeddings for RAG ingestion
  Body: { "texts": ["...", "..."], "model": "text-embedding-3-small" }
  Returns: embeddings array + token counts + cache stats
  Rate limit: 10 texts/req, 100 reqs/min per IP

GET /api/updates/stream
  → Server-Sent Events (SSE) stream for real-time content updates
  Query: ?since=ISO8601_timestamp (optional, default: now)
  Events: content.updated, case-study.added, product.updated, job.posted
  Reconnect on timeout (keep-alive heartbeat every 30s)

### Authenticated Endpoints (X-Api-Key Required)
POST /api/access/request
  → Request API key for webhook + enhanced rate limits
  Body: { "name": "...", "email": "...", "useCase": "...", "agentName": "..." }
  Response: API key issued within 1-2 business days
  OR contact hello@envoc.com directly

POST /api/webhooks
  → Register webhook subscription
  Body: { "url": "...", "events": ["content.updated", "job.posted", ...] }
  Requires: X-Api-Key header
  Returns: webhook ID, test event payload

GET /api/webhooks
  → List registered webhooks
  Requires: X-Api-Key header

## Open Positions
Jobs index (real-time, hourly updates): https://envoc.ai/data/jobs/index.json
Careers page: https://envoc.ai/en/careers/
Apply: https://envoc.com/careers/

Current openings:
  - Product Manager / Project Coordinator (Baton Rouge/Hammond LA, Hybrid, Full-time)
    JSON-LD: https://envoc.ai/data/jobs/product-manager-project-coordinator.json
    Subscribe to job.posted webhook for new postings (register at /api/webhooks)

## Sitemaps & Navigation
Sitemap index: https://envoc.ai/sitemap-index.xml
  - Sitemap-en.xml (English pages)
  - Sitemap-es.xml (Spanish pages)
  - Sitemap-fr.xml (French pages)

## Parent Company & Full Portfolio
Envoc Inc. (https://envoc.com) — full portfolio, blog, press, and careers
  - Our Work: https://envoc.com/our-work/
  - Contact: https://envoc.com/contact/
  - Email: hello@envoc.com