Context
The system needed to run AI workflows in an off-grid local environment with modular services for LLMs, automation, retrieval, and content generation.
AI & Agentic Systems
Off-Grid Modular AI Ecosystem
An offline modular AI ecosystem for local routing, RAG, automation, and avatar rendering.
Software build · Off-Grid AI Infrastructure · Ubuntu + Ollama + LocalAI + n8n + ChromaDB + Wav2Lip
Project illustration. Not a verified production screenshot.
Engagement: Software build. The case study documents the implementation scope. Live deployment status and usage are not asserted.
The capabilities below describe the work delivered. Quantified business results have not been published.
Challenge
Offline AI stacks require careful service orchestration. The challenge was to connect local models, automation tools, vector storage, and generation pipelines without cloud dependency.
Solution
Avlys assembled an Ubuntu-based ecosystem using Ollama, LocalAI, n8n, ChromaDB, Wav2Lip, local RAG, LLM routing, outreach automation, content generation, and avatar rendering.
Delivered.
Local LLM routing
n8n automation
ChromaDB RAG
Avatar and content generation
Capabilities delivered.
A modular local AI environment for experimentation and operations.
Reduced dependency on cloud-only AI workflows.
Connected retrieval, automation, and generation services.
A system architecture that can be extended module by module.
How it was built.
01
Audited the data sources, workflows, and constraints the system had to respect.
02
Designed the agent architecture: orchestration, state, grounding, and human checkpoints.
03
Built the pipelines, integrations, and evaluation harness around real cases.
04
Reviewed accuracy and failure modes, then documented the architecture for extension.
Related work.
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