Learning in the flow of work: Embed expert content in your AI tools

Every time your employees switch tasks, it can take about 23 minutes for them to recover and get back into the flow of work.

When they do, productivity tanks and mistakes increase. In fact, workers who experience disruptions are twice as likely to make mistakes on the job. 

We typically think of workplace interruptions as checking social media, making a phone call, or talking with a coworker. But learning can also interfere with someone’s workflow, especially if they need to switch tabs, search the web, or hunt for the right resources in your internal channels.

Learning in the flow of work removes this friction. But what does that actually look like in practice, and how do you implement it? We break it down, including how the new Pluralsight AI MCP can help.

Learning in the flow of work means embedding learning into the tools and processes your employees already use on a daily basis. Learning happens where they work, instead of in a separate platform or tab.

Learning in the flow of work isn’t a new concept, but widespread AI use has made it possible in ways it hasn’t been before. Already, 96% of organizations have invested in AI tools for at least some of their employees, and 56% have adopted them for most or all of their people.

Think about your organization: Do you use Claude Code? What about GitHub Copilot, Gemini, Microsoft Copilot, ChatGPT, VS Code, or Cursor?

With teams working in AI tools every day, learning is no longer isolated to learning platforms or search engine queries. Instead, more and more employees are turning to AI for answers. 

But that raises a few problems. 

AI hallucinates, and when it pulls from the open web, it may surface outdated or unreliable information. Organizations also take on security and privacy risks if employees upload proprietary data or internal documents to AI tools. 

That’s where Pluralsight AI MCP comes in.

Model Context Protocol (MCP) allows AI systems to securely access other tools, resources, and applications to provide more accurate, relevant responses.

Pluralsight AI MCP uses this technology to embed our expert courses, labs, assessments, clips, and analytics directly into the AI tools your teams already use. Learners can learn right in Claude Code, GitHub Copilot, ChatGPT, and more instead of disrupting their flow of work and seeking help elsewhere.

MCP also allows you to securely use your organization’s proprietary data and learners’ real-time workspace context—such as active code repos or terminal errors—to create personalized, relevant learning experiences. Pluralsight never ingests or stores your source code, so your data stays secure at all times.

Pluralsight AI MCP allows learners to ask questions, get answers rooted in expert-vetted content, and explore learning recommendations based on their work—all without leaving the AI tool they’re already working in.*

• Save time. Find exactly what you need with just-in-time training without searching the web or interrupting your flow of work.

• Learn with confidence. Build your skills and knowledge with curated, expert-vetted content.

• Personalize your learning journey. Generate personal learning guides and clips relevant to your unique work, projects, and questions.

• Check your knowledge. Test your understanding with quick knowledge checks (available in 2027).

Pluralsight AI MCP allows you to define AI learning in your organization, ensuring the shift is secure and strategic instead of accidental.

• Improve learning visibility. Uncover what your people are learning and how to tie it to your team’s goals.

• Get more value from tools you're already paying for. MCP helps boost engagement and usage of AI platforms you've already invested in.

• Provide trusted content. Every response that MCP surfaces comes from Pluralsight's expert-curated courses, labs, and Skill IQ® assessments—not unreliable open-web forums or outdated solutions.

• Keep your proprietary data secure. All MCP tool calls are private search queries authenticated through your standard enterprise SSO. Pluralsight never ingests or stores your source code, so your data stays completely private. 

• Create and assign learning plans for your team in minutes. Use chat prompts to create structured, relevant learning channels based on workspace context like PR defects, code reviews, and meeting feedback. 

• Onboard new hires with ease. Create and assign learning channels tailored to their existing skills and the work they need to do.

• Conduct ROI analysis. Assess how learning has impacted your business objectives with analytics and skills data. For example, ask, “How did completion of the incident response path impact MTTR?” to uncover the data you need to show business impact to C-level stakeholders.**

At the end of the day, your goal isn’t to get your people to spend more time learning. It’s to get them to learn what they need and then get back to work on your most important projects. 

After all, employees’ learning time is limited. Help them make the most of it with just-in-time training that takes place where they work—instead of pulling them away from what matters most.

Learn more about Pluralsight AI MCP and how to build expert-vetted employee training into your AI tools.

*Pluralsight AI MCP is currently not available for individual plans.

**Patent pending. All trademarks and other marks are owned by Pluralsight, LLC.