Navin Sharma
Founder · AI Engineering Lead
I lead engineering at Paiteq. We ship AI features — agents, RAG, evaluation, voice systems, generation pipelines — and write about the work as it happens, not after a content team rewrites it. Every post is by an engineer who shipped the system, with the named tools, the numbers, and the opinions a generalist marketer wouldn't write.
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Multi-agent orchestration patterns: a 2026 production guide
Six multi-agent system patterns that actually ship in 2026 — supervisor, swarm, hierarchical, blackboard, sequential, hybrid — with framework picks and the production failure modes nobody warns you about.
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Customer service chatbot: a 2026 buyer's guide
A 2026 buyer's guide to customer service chatbots — RAG over your docs, eval gates on deflection, and what the LLM tier actually costs in production.
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Generative AI services: a 2026 buyer's guide
A 2026 buyer's guide to generative AI services — brand-controlled image, video, audio and multimodal pipelines, eval-graded outputs, and what the production pipeline actually costs.
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Diffusion model vs flow matching: a 2026 buyer guide
A 2026 buyer and builder guide to the diffusion model paradigm — flow matching, diffusion model architecture, sampling cost, and what to ship.
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AI automation solutions: a 2026 buyer's guide
A 2026 buyer's guide to AI automation solutions — what runs LLM-in-the-loop on n8n, Make and Temporal, where the cost lives, and how to ship eval-gated.
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