Raider Showcase

Monthly RaidGuild all-hands meeting to discuss what is happening across the guild and share what raiders are working on. Fireside host script and process working notes: Purpose: Run lightweight 30-60 minute fireside chats about how people are using AI in real work. Focus on useful tools, workflow changes, trust and limits, adoption barriers, and where each field is headed. Capture recordings and transcripts so each session can become notes, case studies, clips, posts, Portal articles, newsletters, or knowledge-base material. Recording and transcript process: Before each session, create a Portal Session with the guest, host, topic, and prep notes. If the session happens in Discord, start the voice session and run /prism-recordvoice in the relevant Discord channel. Confirm consent at the beginning of the call for recording, transcript, research, and possible content reuse. After the call, attach the Prism recording summary, transcript, recording URL, and artifacts back to the Portal Session so Portal remains the source of record. For sessions outside Discord, collect the recording or transcript and add it to the Portal Session with enough context for follow-up content work. Opening: Thanks for joining. The goal is to understand how people in different fields are actually using AI: what tools are useful, what has changed in your workflow, what still feels hard, and where you think this is headed. This is casual; we are looking for real examples, patterns, and stories. Consent prompt: Are you comfortable with us recording this conversation for transcript and research purposes? The recording may be used to create internal notes, summaries, case studies, or public content. We can review anything before publishing and avoid using your name or company if you prefer. Interview flow: Ask the guest to introduce themselves and describe their work, what a normal week looks like, and what used to be repetitive, slow, or frustrating before AI tools became common. Ask what AI tools they use now, how often they use them, their main AI-assisted tasks, and a recent concrete example where AI helped. Explore how their workflow has changed, what is faster, what they approach differently, and whether AI has changed the work they spend time on. Cover trust, quality, and limits: where they trust AI, where they avoid it, bad or risky outputs, and what still needs a human expert. Discuss adoption barriers in their field, including trust, training, cost, privacy, and workflow fit. Close with future expectations, advice for someone just starting, anything important we missed, and who else we should talk to. Closing: Thanks again. We may turn this into notes, a short case study, or a broader piece about how AI is being adopted across different industries.