Anthropic Exec Saves 15 Hours Weekly With Claude Code

Jared Sires, a former account executive at Anthropic, has turned Claude Code into a game-changing tool for sales efficiency, saving himself and his team 10-15 hours per week. Using the AI-powered coding assistant, Sires created custom tools that automate email replies, prioritize accounts, and streamline meeting preparations—transforming his career into a Go-to-Market (GTM) product manager role.

Before joining Anthropic in 2024, Sires had no coding experience. Like many startup sales professionals, he was overwhelmed by administrative tasks, managing up to 700 accounts and working late into the night to keep up with customer emails and pre-call research. This workload led him to experiment with Claude Code, Anthropic's agentic coding assistant, which launched in early 2025.

Claude Code: A Productivity Engine

Claude Code operates as a powerful command-line interface tool that enables non-coders like Sires to automate complex workflows. Initially, Sires built CLAFTS (Claude Drafts), an application integrated with Gmail that drafts email replies in his voice, leveraging internal documentation and customer data. After multiple iterations, CLAFTS saved him hours each day and quickly gained traction among his sales teammates.

The tool’s capabilities expanded further when Sires added features like CLAFTS Tones, which adjusted email tone based on the recipient, and daily skills that prepared meeting briefs or drafted follow-up emails. These enhancements allowed him to shift focus from repetitive tasks to more strategic sales activities.

Sires estimates CLAFTS saves over 10 hours per week per user while improving the accuracy of communications by referencing up-to-date product documentation. "Before CLAFTS, I felt like I was doing more administrative work than selling. Now, I can focus on having meaningful conversations with customers," he said.

Scaling Across Anthropic

Within months of launching the tools, approximately 80% of Anthropic's sales team adopted the CLAFTS-powered Sales plugin for daily use. The package includes over 20 pre-built skills, such as customer context views and pipeline management, integrated with tools like Salesforce, Google Calendar, and Gong. This rapid adoption underscores the growing utility of AI-driven productivity solutions in enterprise settings.

Anthropic has positioned Claude Code as a cornerstone of its GTM operations, even as the tool has faced criticism for its reliability on complex engineering tasks. Despite these critiques, its adoption for workflow automation remains strong, especially among non-technical users. According to Sires, new hires can now onboard faster by using the pre-packaged workflows, saving weeks of setup time.

Implications for AI Automation

Anthropic’s success with Claude Code highlights the broader trend of AI agents reshaping white-collar workflows. By automating repetitive tasks and enabling customized solutions, such tools are helping professionals focus on higher-value activities. However, reliability issues, like a recent outage in June 2026, may temper enthusiasm for more complex applications.

For Anthropic, Claude Code has become a central piece of its product ecosystem, reflecting the company's broader ambitions to integrate AI into business operations. The tool’s agentic loop design—gathering context, executing actions, and verifying results—sets it apart from traditional chat-based assistants. While not directly tied to cryptocurrency, Claude Code’s enterprise adoption could influence the perception of AI tool investments as the market matures.

What’s Next?

As a GTM Architect, Sires is now focused on scaling and refining Claude-powered tools further. His advice to others? Start small. "Open Claude Code, find one task slowing you down, and ask Claude how to build a solution." With AI automation becoming increasingly accessible, Sires’ journey underscores how non-technical professionals can drive innovation in their fields.

Anthropic continues to push the boundaries of AI tools, but questions around reliability and cost remain key hurdles for long-term adoption. As the company evolves its offerings, the balance between innovation and stability will likely shape its success in the enterprise AI space.