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An NL2SQL system translates a natural-language question directly into a SQL query against your actual database, returning real numbers rather than approximate answers.
Read more — How is NL2SQL different from a regular chatbot?Retrieval-Augmented Generation grounds AI responses in your own documents and data — instead of relying on a model's training alone. It dramatically reduces hallucinations and keeps answers current.
Read more — What is RAG and why does it matter?We start with a strategy call and a short discovery phase, then deliver in weekly increments you can see and test. Most partnerships continue long-term as we expand the system into new use cases.
Read more — What does engagement look like?Absolutely. We engineer custom WordPress and WooCommerce architecture and integrate AI and automation into stacks you already run, via clean APIs and ACF-friendly, maintainable structures.
Read more — Can you build on our existing WordPress / WooCommerce site?Every system ships with evaluations, guardrails, and observability. We measure quality continuously in production and tune for accuracy, latency, and cost using real data — not demos.
Read more — How do you ensure AI systems are reliable?Yes. Many clients start with a single high-leverage use case. We handle the strategy, architecture, and engineering — and make sure the system is safe, measurable, and genuinely useful before scaling it.
Read more — Do you work with companies new to AI?Book a strategy call. We'll map the highest-leverage opportunity and show you exactly what's possible.
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