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Mac Mini‑Powered AI: 5‑User Local Model Success
David Burkett interviewed the WorkingMouse AI R&D team to prove a 32 GB Unified‑Memory Mac Mini can run fast, privacy‑safe open‑weight AI for five users, with concurrency solved via an O Lama backend, while the team plans a company AI survey, will tap new Open AI/Google models on HuggingFace, and will soon scale experiments with an arriving Mac Studio.
AI Reference Guide
Curious about AI at work? Our AI Reference Guide breaks down essential terms and concepts behind Large Language Models (LLMs)—including training, inference, RAG, and hardware requirements—to help teams adopt AI safely, locally, and productively. Ideal for business and IT leaders evaluating AI in enterprise settings.
AI You Own vs AI You Rent: What’s Better for Business?
Renting AI is risky and expensive. Shadow AI, rising SaaS costs, and data exposure are real threats. Hosting your own AI gives you control, lowers long-term costs, and keeps your data safe.
Need product-ready technologists without the long-term risk?
Scale your dev team in 5 days with Talent-as-a-Service: pre-vetted, security-cleared developers & designers, no HR hassle.
Jidoka: Automation with a Human Touch, A Software Method to Gain Organisational Control
The Journal of Software and Systems Modeling published paper offers organisations a path to escape the legacy trap.
Why Discovery Matters
Modernising legacy systems starts with Discovery—understanding what exists, capturing real business needs (not just assumptions), and identifying risks early. At WorkingMouse, this means engaging SMEs, modelling requirements with traceability, and focusing on like-for-like modernisation to reduce risk before optimisation. Discovery sets the foundation for successful delivery by aligning goals, compliance, and technical feasibility right from the start.
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