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Former Amazon employee builds custom CRM in 72 hours with AI tools, this is how he did it

Former Amazon employee builds custom CRM in 72 hours with AI tools, this is how he did it

Can you build a website and professional tools with AI? A former Amazon executive has proven with a demonstration, showing how one can rely on AI to build the desired tools. Dave Clark, the founder and CEO of supply chain startup Auger and former CEO of Amazon Worldwide Consumer, has showcased the transformative power of emerging AI tools by constructing a full end-to-end customer prototype, reworking a pitch deck, and developing a tailored CRM system—all within a single weekend. 

In a viral post on X (formerly Twitter), Clark described the feat as “crazy” in expanding personal productivity, compressing months of work into just 72 hours. Clark, who spent over 23 years at Amazon working on global logistics with innovations in robotics and automation before founding Auger in 2024, shared his experience amid growing discussions on “vibe coding”—a term for using natural language prompts to guide AI in generating functional code and applications rapidly.

A weekend of wild productivity

Detailing his busy weekend, Clark stated, “Wildly productive weekend. Built a full end-to-end customer prototype Saturday. Reworked our deck and converted it to web view Sunday. Between last night and today, built a custom CRM that actually fits how we sell.”

He attributed the speed to new AI-powered tools, which allowed him to bypass traditional development bottlenecks. What surprised him most was the CRM build. “We tried configuring an off-the-shelf tool for our cycle. Too many fields we don’t need, missing the ones we do, forces a pipeline flow that doesn’t match reality. Spent more time fighting the tool than using it,” he said.

Instead, Clark opted to create exactly what his team needed: “So I just built what we needed. Took a night and a morning.”

Insights on latency, structural friction

Reflecting on the process, Clark drew parallels to broader business challenges, highlighting that true latency often comes from structural issues rather than technical ones. “This is the thing about latency I keep coming back to: it’s not always about supply chains or inventory or demand signals. It’s how we build, how we sell, how we ship internally,” he wrote.

He pinpointed non-technical frictions as the biggest hurdles: “Most friction isn’t technical. It’s structural. Waiting on vendors, scheduling demos, debating requirements in meetings that spawn more meetings.”

By removing these “handoffs,” Clark argued, execution speed changes completely. He connected this to principles at Auger, a Seattle-based startup backed by $100 million in funding from Oak HC/FT, which aims to create a universal operating system for digital supply chains using AI. “Same principle we’re applying at Auger. The coordination tax shows up everywhere. Kill it in one domain, you start seeing it everywhere else.”

“Turns out the fastest way to move is to stop coordinating and start executing,” he concluded. “It’s true. You can indeed just do things,” he concluded.

Source – https://www.financialexpress.com/life/technology-former-amazon-employee-builds-custom-crm-in-72-hours-with-ai-tools-this-is-how-he-did-it-4113752/

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