Salesteq

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Thinking out loud.

AI-Native Engineering: The Painful Bet That Paid Off

We rejected QA teams, staging environments, and the typical split of responsibilities from day one. It was painful. Then model capabilities caught up, and everything changed.

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How a BMW dealer handles customer inquiries 24/7 with zero extra staff

Mohamed Yousuf Naghi Motors deployed an AI sales advisor across their BMW and MINI dealerships. It knows every car, speaks Arabic and English, and books service appointments in seconds.

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What If We Stopped Engineering the Answer and Started Evolving It?

What if the most powerful AI systems aren't the ones we carefully design, but the ones we let loose? A lesson from Mars, modular robots, and the future of agentic AI.

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How We Use AI Agents to Build Salesteq

We don't just sell AI. We build with it. Here's how our engineering team uses an AI Agent Orchestrator to develop and modify our own microservice architecture - the same philosophy that drives everything we do at Salesteq.

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Building an Agentic Framework

The future of sales and marketing lies in intelligent, autonomous systems that don't just automate tasks but adapt, collaborate, and deliver measurable value. That's why we're designing an agentic framework, a modular, scalable architecture where AI agents are reusable, easy to implement, and configurable to meet diverse needs.

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Conquering Uncertainty: How Salesteq AI is Redefining Sales Success

In today's fast-paced world, mid-sized enterprises face mounting challenges in navigating their sales processes. With data overload, fragmented tools, and ever-evolving customer behaviors, the pressure to perform can feel overwhelming. Traditional approaches are no longer enough--leaving businesses grappling with uncertainty and searching for clarity.

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