I build enterprise AI solutions and context engineering systems - focused on making AI practical, secure, and scalable for real-world applications.
- 🔭 Currently working on AI orchestration frameworks and prompt engineering best practices
- 📖 Author of "From Blueprint to Application" - Enterprise Prompt Engineering Guide
- 🛠️ Creating tools that bridge the gap between AI capabilities and enterprise needs
- 🔧 Approach: Automating everything that can be automated
Specialties: Automation & DevOps, Open Source, Full-Stack Development + more Tech Stack: Python, Bash, PowerShell, React, Node.js, Azure + more
Interactive showcases and implemented features:
- SPINE - Multi-agent management demos
- Adaptive MCP Orchestrator - Lab | Demos | AI Integration | Meta-Router
- 8me - "8me autonomous loop toolkit", AI agent loops with 15 progressive labs
- agentspool - Inter-agent communication with SQLite spool and HTTP relay
- Minna - Cross-session memory integration
- From Blueprint to Application - Interactive prompt engineering tools
- Music Video Creator - AI-powered visual generation
A Guide to Enterprise Prompt Engineering
Transform AI trial-and-error into consistent, time-saving workflows through a structured 90-day journey.
| Project | What it does | |
|---|---|---|
| SPINE | Context Engineering backbone — AgenticLoop, ContentPipelineExecutor, tiered protocol |  |
| content-mcp | Multi-media orchestration — 41 tools, 11 providers, Prompt Contracts, fal.ai video |  |
| content-analyzer-mcp | Aesthetic classifier, gap analysis, Isolation Forest anomaly detection |  |
| Intelligence Engine | Code knowledge graph — KuzuDB, 38+ projects indexed, Cypher queries | |
| Project | What it does | |
|---|---|---|
| flow-musical-creation | 12-song AI musical, 4 Claude Skills, Suno 5.0 integration |  |
| the-musicologist-mcp | Domain knowledge MCP — 17 tools, review rubric, style builder, lyrics parser |  |
| suno-mcp | Suno AI music generation MCP — generate, review, download songs |  |
| Music Video Creator | AI-powered visual generation with audio-reactive effects | |
| Project | What it does | |
|---|---|---|
| observation-workbench | Recursive reasoning — 248 templates, route resolver, avenue proposal |  |
| Project | What it does | |
|---|---|---|
| agents-mcp-mgmnt | Progressive MCP tool disclosure — 87% token savings measured | |
| mcp-builder-mcp | Meta-MCP — generates new MCP servers from patterns and log analysis | |
| Minna Memory | Lightweight AI memory — SQLite + FTS5, 16 tools, 5 entity types |  |
| Project | What it does | |
|---|---|---|
| 8me | AI agent loop toolkit — persistent loops, 15 progressive labs | |
| agentspool | Inter-agent communication — SQLite spool, HMAC relay, 14 tools | |
| Adaptive MCP Orchestrator | Dynamic orchestration of multiple MCP servers with intelligent routing | |
🤖 AI & Context Engineering ████████████████████░░░░ 85%
🔧 MCP Servers (23+ built) ██████████████████░░░░░░ 75%
🏗️ Multi-Agent Orchestration ████████████████░░░░░░░░ 65%
🎵 AI Music & Video Pipelines ██████████████░░░░░░░░░░ 60%
📚 Technical Writing ████████████░░░░░░░░░░░░ 50%
- Creative Engines — 7-article series on architecting AI systems that generate excellence, not slop
- From Blueprint to Application — Enterprise Prompt Engineering Guide
- More at adaptivearts.ai and fbratten.github.io
|
|
✨ **Let's collaborate** on something amazing - collaborators and coffee chats are always welcome.
"The best time to master AI was yesterday. The second best time is today."
Projects released as part of Adaptivearts.ai™