Use Cases
Seven concrete onboarding scenarios across the Qriton HLM stack, from laptop-class language assistants down to battery-powered sensor nodes. Each scenario lists the target persona, the problem, which models + tools apply, a step-by-step walkthrough, and the honest caveats.
Where to start
Pick the scenario that most resembles your situation. Each page is self-contained — you don't need to read the others first.
For regulated-industry teams
| Use case | Persona | Stack |
|---|---|---|
| EU AI Act-compliant credit-scoring | Fintech compliance officer, ML engineer | HLM3 + audit certificate |
| Medical imaging with provenance | Clinical-AI product lead, radiology partner | HLM-Spatial Medical3D + audit |
For edge / industrial teams
| Use case | Persona | Stack |
|---|---|---|
| Industrial anomaly detection on factory floor | Manufacturing data engineer, maintenance ops | HLM-Micro + ESP32 + MPU6050 |
| Sovereign edge sensor network | Defense / critical-infrastructure PM, systems integrator | HLM-Micro × N nodes + hash-chain audit |
| Wearable health monitoring | Consumer wearable PM, health-tech engineer | HLM-Micro-har / ecg + phone or Arduino |
For AI product / research teams
| Use case | Persona | Stack |
|---|---|---|
| Programmable AI assistant persona | Chatbot PM, LLM-app developer | HLM3 + HLM-Audio + Energy Language surgery |
| Research notebook for interpretability | ML researcher, interpretability scientist | HLM3 + Jupyter + Energy Language |
How each scenario is organised
Every use-case page has the same six sections so you can scan quickly:
- Who this is for — the target persona(s)
- The problem you're solving — what breaks today without Qriton
- What you'll build — the concrete artefact at the end of the walkthrough
- The stack — which Qriton pieces apply, and what external tools you bring
- Walkthrough — step-by-step, with commands / code
- Caveats & what to read next — honest limits, and where to go from here
Not sure where to start?
- Want the smallest/fastest concrete result? → Industrial anomaly detection on factory floor. Full pipeline on your laptop in 10 minutes.
- Most common compliance pitch? → EU AI Act-compliant credit-scoring.
- Most visual for a demo? → Programmable AI assistant persona.
- Most adjacent to your existing wearable / IoT work? → Wearable health monitoring.