The AI Building Blocks
See Them Work

Four technologies. Live demos. No slides, no hand-waving — real inference, real parsing, real chains. Pick a building block or see them work together.

Live Inference Cloudflare Edge Open Source Stack

01 · Try It

Interactive Demos

⚡

Cloudflare AI

Type a prompt, pick a model, get a response from the edge. Streaming text generation, embeddings, and image classification — all serverless.

Live Workers AI

📄

LiteParse

See why layout-preserving extraction beats naive text dumps. Spatial vs naive parsing side by side, with bounding box visualization.

Live Document AI

🔗

LangChain

Build a chain, run a RAG pipeline, and compare raw API calls vs orchestrated AI — all with live inference from the edge.

Live Orchestration

🦙

llama.cpp

The honest comparison tool. Same prompt across quantisation levels, real benchmarks, and a hardware calculator that tells you what you actually need.

Live Local Inference

🔄

AgileX Recruitment Pipeline

Five AI agents, one workflow. Parse a CV → match to roles → screen via AI interview → assess & score → schedule → generate offer. Built for AgileX, powered by all four technologies.

Live Full Pipeline AgileX

02 · When to Use What

The Decision Matrix

Every tool has a sweet spot. This is the honest guide to picking the right one.

Scenario	Use This	Why
Quick text generation, zero setup	Cloudflare AI	Pay-per-use, sub-second from the edge, no GPUs to manage
Parse documents for AI pipelines	LiteParse	Local, fast, spatial-aware — preserves layout LLMs can read
Multi-step AI workflow with retries	LangChain	Chain orchestration, memory, fallbacks, and observability built in
Air-gapped or offline inference	llama.cpp	Runs on bare metal, zero network dependency, full privacy
Full RAG pipeline	All Four →	Parse → Embed → Store → Retrieve → Generate
Prototype in an afternoon	Cloudflare AI + LangChain	Fastest path from idea to working demo
Privacy-sensitive data	LiteParse + llama.cpp	Everything on-premise, zero data leaves the building