Now

Most of my time this month is going into launching Argus Intelligence ahead of the EU AI Act's August 2026 deadlines. The first product — the EU AI Footprint Scanner — is the focus; the rest of the work is either feeding into it or kept warm.

Shipping

• Argus Intelligence — small AI-tooling brand for the EU compliance space. Domain registered, design spec and 26-task implementation plan in place, Estonian OÜ in progress (e-Residency application submitted).
• EU AI Footprint Scanner — Argus's first product. CLI shipped, GitHub App for CI integration is the next milestone.

Building (alongside)

• aegis-rag — wiring up a RAGAS eval harness so I can stop saying "it retrieves well" and start posting faithfulness numbers.
• Local LLM benchmarking — full sweep of Qwen and Llama variants at Q4_K_M / Q5_K_M / Q6_K on 16GB. The goal is a small honest table, not a leaderboard.
• YOLO custom detection — label audit pass before any more training runs. Dataset work, not hyperparameter work.

Planning

• PRD locked for an Argus Compliance Copilot — RAG over the EU AI Act, sold as the Pro tier of the Scanner once the GitHub App ships.

Learning

• Reranker architectures — specifically when a cross-encoder reranker is worth the latency tax vs. just retrieving more candidates.
• Quantization math: why Q4_K_M outperforms plain Q4_0 per-byte, and what "K-quant" is actually doing.

Not doing

• Training foundation models. Fine-tuning giant models on rented GPUs isn't where my time has the best return right now — the retrieval and inference-serving side is.

---

Inspired by Derek Sivers' /now page convention.