Riverside, a platform that helps creators record and edit high-quality audio and video, has introduced a set of 45 AI and ChatGPT prompts tailored specifically for podcasters. The collection, published on their blog, aims to reduce the time spent on repetitive tasks, targeting savings of over two hours per episode. As podcasting scales in complexity, tools like these address creator burnout by automating parts of the workflow.
The prompts are organized around three key stages: brainstorming, scripting, and promotion. For brainstorming, they help generate episode topics, guest questions, and segment ideas. Scripting prompts assist with structuring intros, outros, and narrative arcs, while promotion-focused prompts suggest social media copy and show notes. This structure supports podcasters in streamlining each phase without losing creative control.
A notable feature in the release is the mention of chat-based editing via Riverside Co-Creator. This tool appears to integrate AI conversations into post-production, potentially allowing creators to edit episodes through text-based commands. While details are scarce, the implication is that these prompts can be used within Riverside’s ecosystem to reduce manual editing time, furthering the efficiency angle.
For content creators, the business case is clear: saved time translates directly into higher output or improved quality. Podcasters often juggle multiple roles, from host to marketer, and AI prompts can offload cognitive load. The resource positions itself as a tactical guide rather than a replacement for human judgment, emphasizing speed in repetitive tasks.
Riverside’s post, dated June 3, 2026, suggests an ongoing investment into AI-driven podcasting tools. Creators looking to experiment with these prompts should test them with specific goals—like cutting ideation time or refining show structure—and measure the impact on their episode turnaround. The full list is available on Riverside’s website, offering a starting point for those exploring ChatGPT in their production pipeline.
