All Case Studies / ENTERPRISE CONTEXT MANAGEMENT
AI Content Platform 6 months 1 engineer + AI

ENTERPRISE CONTEXT MANAGEMENT

An AI Content-and-Authority Platform With a Four-Provider Fallback Chain and an MCP Server

4
AI Providers
7
MCP Tools
3
Sites Fed
0
Hallucinated Cites

The Challenge

Selling enterprise AI-context consulting to VPs of Engineering, CTOs and CISOs means demonstrating authority at scale: a deep, well-cited body of frameworks, governance guidance and a technical dictionary that ranks, stays fresh, and can be trusted. Producing that by hand does not scale, and producing it with a single LLM is both fragile (one provider outage stops everything) and dangerous (LLMs invent citations). The platform had to generate and continuously improve a large content corpus across three sister sites, survive any one AI provider failing, refuse to publish fabricated sources, and expose the whole knowledge base to external AI agents.

The Solution

ECM is a Laravel platform whose content engine runs on a resilient four-rung AI chain: it walks Groq to Gemini to OpenAI to Anthropic, skipping any provider without a key and falling through on any error or timeout, so generation is cheap-first and never single-provider-fragile. A nightly cron pipeline generates, improves and de-duplicates articles and dictionary terms — with per-section word-count floors and hard length caps — and feeds content to three sister sites. A deterministic citation verifier does DNS and HTTP checks on every LLM-produced source URL and drops hallucinated or dead links before anything is stored. On top, a JSON-RPC MCP server exposes seven tools so external AI agents can query the articles, categories and dictionary, and an AI-assisted contact flow captures and qualifies leads.

Resilient AI Chain

Groq to Gemini to OpenAI to Anthropic

MCP Server

7 tools for external AI agents

Autonomous Pipeline

Nightly content across 3 sites

Citation Verifier

Drops hallucinated & dead sources

Build Process

Phase 1 6 weeks

CMS & Data Model

Built the article, category, page and dictionary models, the lead-capture flow, and the server-rendered marketing surface.

Phase 2 6 weeks

Resilient AI Chain

Implemented the four-provider fallback chain and the generation services, with the citation verifier gating every stored source.

Phase 3 6 weeks

Autonomous Pipeline

Built the nightly cron that generates, improves and de-duplicates content across three sister sites with length governance.

Phase 4 6 weeks

MCP & Distribution

Shipped the JSON-RPC MCP server (7 tools), the authenticated dictionary API for the sister sites, and production operations.

Total: 6 months from kickoff to production

Tech Stack

The technologies and services powering ENTERPRISE CONTEXT MANAGEMENT.

Laravel 12
Backend
Tailwind CSS
Styling
MariaDB
Database
Sanctum
API Auth
AI Fallback Chain
Text Gen
gpt-image-1
Image Gen
MCP (JSON-RPC)
Agent Access
Vite
Build

Results & Impact

Four-provider AI fallback chain (Groq to Gemini to OpenAI to Anthropic) keeps generation cheap-first and outage-resistant

Deterministic citation verifier drops hallucinated and dead source URLs before they are ever published

Nightly autonomous pipeline generates, improves and de-duplicates content across three sister sites

JSON-RPC MCP server exposes seven tools so external AI agents can query the articles and technical dictionary

AI-assisted contact flow captures and qualifies enterprise leads with database persistence and email

Hub of a three-site network, serving the shared technical dictionary over an authenticated API

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6 months
Timeline
1 engineer + AI
Team
2026
Year
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