Architectural Reality Check: Cerebras WSE-3 Cloud achieves 2,000+ tok/s for fixed pre-hosted LLMs (Llama/Qwen), but locks out custom spiking connectomes, sparse 3.1% k-WTA Kenyon expansions, and EvoJAX weight surgery. Below are the 5 custom-model neuromorphic, GPU-neuroevolution, and quantum cloud stacks you can run via Python API today — click any tab to copy its starter code:

Web Browser Access (https://apiarii.com) vs. Downloaded Local MLX App / Antigravity Sidecar (127.0.0.1:8795): Just as OpenAI and Claude offer zero-install web access alongside a native desktop app, apiarii.com streams the full Levain × Zebra × EvoBee-TabFM Tri-Swarm in any browser while automatically bridging to your local Apple Silicon Metal MLX Sidecar (http://127.0.0.1:8795) when running locally — delivering 15.8 ms/suite early-exit and 62.7 ms single-pass 0-decode MLX System-1 prefill at $0.00 cloud API cost (1,806x faster than multi-agent cloud debate).

How to Use in 3 Steps: (1) Click one of the 5 real-world dataset presets below — or paste/upload your own .csv table. (2) Confirm the Target Column (Y), optional Intervention Column (A for do(A)), and your decision question. (3) Click ▶ Run Levain × Zebra × EvoBee Model to compute live Out-of-Fold Brier calibration, counterfactual do(A) lift, QUBO feature selection, and System-1 Decisionmaker verdicts (while mapping your columns onto the 3D Bee Connectome!).