Deckset and AI

Paste the full presentation—or one section—into your model of choice and describe the intended audience. Ask it to identify missing context, unclear sections, or slides to shorten, then make the changes in your Deckset source file.

• Coverage checks: “Here’s my Markdown presentation. 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.”
• Transitions: “Suggest a sentence that connects each topic to the next so I can present 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.

Install or attach Deckset’s AI Slide Builder Skill so an agent can follow Deckset syntax before it drafts slides. The skill covers turning notes into slides, Markdown commands, media modifiers, presenter notes, slide styling, transitions, and validation.

Keep the presentation, its assets, and an AGENTS.md file in one project folder. Point the agent to Deckset’s Markdown documentation, then describe the audience, tone, and export requirements for this presentation.

• Name the audience and explain what they should understand or decide after the presentation.
• Set Deckset conventions including slide separators, presenter notes, theme commands, and asset folders.
• Precise edits reference exact slides—for example, “Add a two-column layout to slide 3 that compares on-premises and cloud requirements.”

Open the generated source in Deckset, check unfamiliar commands against the documentation, and preview every slide. Keep the changes you understand and revise anything that does not render as intended.

Connect an agent to approved analytics sources through MCP or CLI tools. Ask it to include the source and reporting period when summarizing KPIs, then verify the numbers before adding them to the presentation.

• Focused review passes check structure, Deckset syntax, presenter notes, and visuals separately.
• Readable changes keep edits small enough to review as a diff before opening the presentation.
• Shared assets save approved tables, images, and diagrams in the project so they can be reused.

Use AI to draft summaries, visuals, diagrams, and presenter notes. Review the output, then add only the parts that support the slide.

• Data to Markdown tables: “Using the approved analytics source, prepare a Markdown table with DAU and MAU by client platform. Include the source and reporting period.”
• 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, presenter notes, or code blocks so you can keep presentations, notes, and demos in sync.
• Presenter notes with timing: 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.

Review every AI-generated slide, note, and asset before presenting. You are responsible for the claims you make and the questions you answer.

Paste your presentation 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 presentation, 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 presentation, 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 presentation and suggest one follow-up question per slide to spark audience participation.”

After AI helps you draft answers, practice them in Deckset with timers, presenter notes, and next-slide previews.

Models without direct access to Deckset’s Markdown documentation may guess at directives or customization override flags. Check anything unfamiliar or not working against the documentation.

Use only models and connectors approved for the information in your presentation. Redact confidential details before sending excerpts to a web-based tool, and check what local tools store in logs, caches, or external services.

Prompting AI to create an entire presentation can work for lightweight or introductory topics, but specialized subjects usually need more rewriting. Use it for spot checks, summaries, or diagrams alongside your own expertise.

Run through the full presentation yourself to check the timing, phrasing, and examples before you present.