LLM-powered products, AI features inside real apps, RAG systems, and automation that removes hours of manual work. We've shipped AI products to real users — built fixed-price, production-grade.
AI software development means building products and features powered by LLMs and machine learning — AI apps, RAG/retrieval systems, AI automation, and ML features embedded in real software. We've shipped AI products to paying users (an AI resume builder and an AI social-media manager) and we build them fixed-price, with the testing and deployment rigor of any production system — often in Python and/or Ruby on Rails.
Anyone can wire up a chatbot demo. The hard part is an AI feature that's reliable, fast, affordable at scale, and genuinely useful inside a real product. That's what we build.
Yes — ApplyGlide (an AI-powered resume builder) and ContentHarvest (an AI social-media manager), both live with real users.
Whatever fits — OpenAI, Anthropic (Claude), or open models — chosen for quality, latency, and cost. We're not locked to a single vendor.
Evals, guardrails, caching, and model tiering. We treat AI like any production system: measured, tested, and cost-controlled — not a black box.
Often both — Python for the AI/ML core, Rails or Python for the app around it. See our Python and Ruby on Rails services.
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