The LavaCon Content Strategy Conference | 25–28 October 2026 | Charlotte, NC
Emma Pindera

Emma Pindera is a seasoned Content Strategist at PointClickCare, where Emma leads initiatives to create impactful, user-focused content that drives engagement and supports product adoption. With a Master’s in Educational Technology from the University of British Columbia, Emma brings a unique blend of technical expertise and creative storytelling to the world of digital content. Over the years, Emma has held roles in technical writing, instructional design, and learning strategy, contributing to projects that span help documentation, in-app guidance, and release communications. Beyond professional work, Emma holds certifications in accessibility design, project management (CAPM), coding, and is an active Toastmaster reflecting a commitment to continuous learning, innovation, and communication. When not shaping content experiences, Emma enjoys hiking, kayaking, riding roller coasters, and traveling, bringing curiosity and creativity to every endeavor.

Creating Content AI Agents That Actually Work: Empowering Writers, Not Replacing Them

As AI becomes an integral part of content workflows, the challenge isn’t replacing human expertise—it’s amplifying it. This session explores how to design and deploy AI-powered content assistants that truly add value for technical writers, UX writers, and content strategists. Learn practical strategies for building AI agents that support help files, style guides, in-app assistance, release newsletters, and more—without compromising quality or creativity. Discover how to position AI as a collaborative partner, not a competitor.

In this session attendees will learn how to:

  • Understand the Role of AI in Content Strategy – Explain why AI should complement—not replace—human writers and how this impacts workflow design.
  • Identify Key Use Cases for AI Content Agents – Learn where AI can add value in creating help files, style guides, in-app assistance, and release communications.
  • Apply Principles for Context-Aware AI Design – Gain practical knowledge on building AI systems that respect tone, terminology, and brand voice.
  • Implement Human-in-the-Loop Processes – Discover frameworks for integrating AI outputs with editorial review to maintain quality and trust.
  • Evaluate Success Metrics for AI-Assisted Content – Learn how to measure effectiveness, adoption, and user satisfaction when deploying AI content assistants.