Tools, guides, and templates — all in one place.
A central hub for everything that helps you build, deploy, and run your own AI:
best-practice guides, quick-start templates, code snippets, evaluation checklists, and technical playbooks.
GUIDES & PLAYBOOKS
Practical guides, templates, and technical playbooks to help you ship AI locally—from quick validations to production-ready deployments.
Deploy a Spam Detection Model Locally (Spam/Ham) — Python (CPU)
Run a spam/ham text classifier locally with Python and Hugging Face Transformers (CPU). Load a local model/ folder and validate inference on 10 French samples.
1-Hour AI Mini-Test (Model vs Dataset vs Agent)
Validate an AI idea in 60 minutes using 30–100 real examples. Set safe thresholds, spot costly errors, and decide whether to start with a ready model, build a custom dataset, or move to an agent (CPU/GPU).
Dataset vs Model vs Agent: Choose & Combine
A practical, non-technical guide to picking the right AI building block: an off-the-shelf single-task model, a dataset to train/adapt it to your company data, or an agent powered by a language model for complex workflows. Includes a 60-second decision path, concrete examples, and common pitfalls.
Deploy French Spam Type Detection Locally
Step-by-step guide to run the model locally, expose a minimal FastAPI API, test with curl, and set safe thresholds with a 3-zone workflow (auto / review / no action) to avoid false blocks.
Private RAG with Citations (Company Docs)
Answer from internal PDFs, Word files, and emails with verifiable citations—then deploy faster with the Knowledge Base QA Agent.