Deckset and AI

Paste the full deck—or just one section—into your model of choice, describe the intended audience, and use review prompts to fine-tune slides before your next Deckset pass. AI highlights weak slides while you stay focused on storytelling inside the app.

• Coverage checks “Here’s my Markdown deck. What important topics or unanswered questions are missing given this audience?”
• Audience calibration “Which slides need more baseline explanations if my audience has experience level X?”
• Timeboxing “Which sections are least critical and could be simplified if I need to cut five minutes?”
• Tone shifts “Rewrite slides for a {role} audience while keeping the same facts, and highlight anything that needs extra context.”
• Flow polish “Suggest transitions that make these topics flow naturally so I can narrate without jarring jumps between slides.”

Ask AI to flag claims that need citations or fact-checking, then review every suggestion yourself—you’re still responsible for delivering accurate content.

Keep every Deckset project inside a single folder alongside a living AGENTS.md that spells out how you want slides formatted, reviewed, and tested. Agents like OpenAI Codex, Claude Code, or Gemini CLI can run in your terminal or editor, read those instructions, and follow your conventions.

• Central hub Store every presentation, assets folder, and AGENTS.md in one repo so agents can fetch context with a single directory read.
• Agent-ready documentation Point AI to Deckset’s Markdown documentation (or store a local copy) so it understands Deckset-specific Markdown features.
• Documented instructions Use AGENTS.md to spell out slide structure, tone, persona, image folders, and export preferences so different agents stay in sync.
• Precise edits Reference exact slides—“Add a two-column layout to slide 3 that compares on-prem vs. cloud requirements”—so AI can make edits to your Markdown on your behalf.

Once your instructions are dialed in, let AI spin up supporting materials—summaries, visuals, diagrams, and presenter notes—so every slide has the right scaffolding.

• Instant recaps Ask for a summary slide, closing checklist, or TL;DR with citations to reinforce key points.
• Custom visuals Ask AI to generate background images that match your theme or to output SVG/Mermaid.js diagrams tailored to your data.
• Structured assets Have the model produce reference tables, speaker notes, or code blocks so you can keep decks, notes, and demos in sync.
• Presenter rhythms Ask AI to convert an outline into presenter notes with timing cues (e.g., “90 seconds max”) so you rehearse with realistic pacing.
• Slide-specific instructions Give targeted prompts—“Inject two concise stats into slide 8” or “Draft a two-column comparison for slide 11”—to keep revisions small and accurate.

Always review what the AI model has generated as you’re the one responsible for delivering the talk and answering follow-ups.

Paste your deck and ask the model to impersonate executive sponsors, skeptical engineers, or first-time learners. Capture the best questions in presenter notes so you can reference them on stage.

• Skeptical stakeholder “After reading this deck, act as a CFO who’s worried about ROI and ask three follow-up questions referencing slide numbers.”
• Learner comprehension “Pretend you’re new to the topic. Which slides are confusing, and what clarifying questions would you ask?”
• Concept quiz “Quiz me on the key terms and frameworks in this deck, ask for my answer, then tell me which slide to revisit if I miss anything.”
• Audience poll rehearsal “Summarize the key polls or interactive moments in this deck and suggest one follow-up question per slide to spark audience participation.”

Once AI has helped you script answers, open Deckset’s Rehearsal Mode to practice with timers, presenter notes, and next-slide previews so your responses stay calm and confident.

LLMs that without direct access to Deckset’s Markdown documentation sometimes guess at directives or customization override flags. Cross-check anything unfamiliar or simply not working against the docs.

Only share decks with models that meet your security requirements. Keep confidential slides inside locally running LLMs (or air-gapped prompts) and use redacted excerpts before sending anything to web-based tools.

Prompting AI to create an entire presentation can work for lightweight or introductory topics, but the more specialized the subject, the more you’ll rewrite. It still shines when you ask for spot checks, summaries, or diagrams on top of your own expertise.

Regardless of how you generated the slides, schedule review and rehearsal sessions to ensure timing, phrasing, and examples land well. Nothing replaces a dry run when you want to deliver the best talk possible.