We build custom AI agents and retrieval-driven systems for ecommerce and service businesses that need more than generic automation.
Model orchestration, cloud deployment, vector retrieval, ecommerce actions, CRM sync, and workflow automation in one connected stack.
The visible chat interface is only one layer. The real value sits in retrieval design, Python logic, cloud deployment, and operational workflows.
RAG-powered support agents that answer business-specific questions, check live data where needed, and escalate edge cases cleanly.
Custom agents that support product discovery, guided configuration, pre-sales questions, cart actions, and post-chat lead capture.
AI-led intake and qualification flows that structure demand before it reaches sales or operations — with CRM logic and follow-up built in.
n8n, CRM, WhatsApp, email, and internal workflow automations — connective tissue around the core AI system, not the main product.
An AI-powered support, sales, and customer-intelligence layer — not a chatbot demo. The proof is that it retrieves, acts, logs, integrates, and creates operational value.
DevCrabs is built around one principle: AI should improve how a company actually runs. That means workflow logic, retrieval quality, data structure, cloud deployment, handoffs, and post-launch iteration — not just prompt demos.
A structured delivery process that reassures serious buyers and technical evaluators that the implementation is production-minded from day one.
We define the commercial problem first — user intents, business rules, knowledge sources, system actions, escalation conditions, and what success looks like in production.
RAG design, vector database structure, tool permissions, fallback logic, and integration planning — where retrieval and LLM orchestration are defined.
Implementation combines Python, APIs, cloud infrastructure, vector storage, and selected workflow tools. AWS deployment ensures stability and monitorability.
We test beyond happy-path prompts and improve from real conversation data — reviewing failures, refining retrieval, and expanding use cases post-launch.
Live animated walkthroughs showing real workflows, retrieval logic, product flows, and backend architecture behind the TopNotch Furnishers AI agent.
The best enquiries are specific: support load, buying friction, lead qualification, disconnected CRM workflows, or a need for a serious AI agent build.
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