Expert-Framework Presentation Prompt Chain
Turn a presentation goal into an expert-informed deck with two prompts
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 8
- Confidence
- 98%
The method uses a two-prompt chain rather than asking an AI tool to produce slides immediately. The first prompt gathers the intended presentation type, business objective, constraints, and brand requirements. It then identifies practitioners associated with that presentation format, extracts their methodologies, synthesizes guiding principles, and maps those principles onto a slide structure. Its final output is a second, customized prompt. That prompt receives the user's research or internal company information and produces a slide-by-slide outline with narrative, evidence, timing, and content guidance. The user edits and validates the outline before passing it, together with a brand style guide, into a presentation generator such as GenSpark. This separation of strategy, content, and rendering creates a stronger first draft while preserving human judgment.
Origin
Extracted from Marketing Against the Grain as a demonstration of combining an expert-research meta-prompt, source material, ChatGPT Canvas, and GenSpark to create presentation drafts rapidly.
Core principles
- 01Choose the presentation type before generating content
- 02Ground the structure in proven expert methodologies
- 03Translate methodologies into practical guiding principles
- 04Map every principle to specific slides
- 05Treat AI output as an editable first draft
- 06Support the deck with relevant source material and brand rules
How to run it
- 1
Define the presentation job
Choose the presentation type and state the business objective or decision it must drive. Add constraints such as audience, duration, slide count, format, and brand rules.
Pro tip Customize the menu of presentation types around the decks your organization creates repeatedly.
Watch out A vague objective will produce a generic structure even if the visual output looks polished.
- 2
Research relevant expert methods
Ask the AI to identify practitioners who are strong at the selected presentation type and extract their specific methodologies. Focus on transferable structural principles rather than names alone.
Pro tip Use a research-capable model so its proposed methodologies can be traced and checked.
Watch out Do not assume every expert attribution generated by AI is accurate.
- 3
Synthesize guiding principles
Convert the researched methodologies into a concise set of rules for narrative, evidence, positioning, sequencing, and persuasion. Resolve overlaps so the principles form one coherent approach.
Pro tip Keep only principles that materially change what appears in the deck.
Watch out Combining too many frameworks can create a disjointed presentation.
- 4
Map principles to slides
Assign each guiding principle to one or more slides and specify the purpose of each slide. Include instructions for incorporating the user's own content and evidence.
Pro tip Add a pacing constraint such as seconds per slide to keep the deck within its allotted time.
Watch out Do not let attractive slide ideas replace a logical narrative progression.
- 5
Generate the second prompt
Have the first prompt return a complete presentation-creation prompt containing the expert principles, slide sequence, content requirements, and constraints. This becomes the reusable instruction set for producing the outline.
Pro tip Preserve placeholders that clearly show where research, metrics, examples, and brand requirements belong.
Watch out A prompt that omits source-material instructions may encourage fabricated facts.
- 6
Supply grounded source material
Attach internal documents or conduct external deep research covering the customer, problem, value proposition, differentiation, proof, and narrative. Use this evidence as the factual basis for the outline.
Pro tip For internal updates, aggregate information from email, documents, calendars, and project systems and flag conflicting reports.
Watch out Validate every statistic, customer claim, and attribution before presenting it.
- 7
Edit the outline with AI as a partner
Generate the outline in an editable workspace, then revise its claims, wording, flow, and slide choices. Treat the output as a strong draft rather than a finished artifact.
Pro tip Keep the outline in a canvas-style editor so individual sections can be changed quickly.
Watch out Do not copy and paste the first output without adapting it to your industry and audience.
- 8
Render and quality-check the deck
Send the edited outline and brand style guide to a presentation generator. Review the resulting slides for factual accuracy, typography, animations, layout defects, and rendering errors.
Pro tip Request static slides when animations or rollover effects are unnecessary.
Watch out Small edits may trigger full slide regeneration, and presentation tools can fail or introduce typos.
In the wild
The host selected a product-launch presentation intended to generate 30 new CFO leads within 30 days. The AI synthesized principles associated with practitioners including Andy Raskin and April Dunford, then built a 12-slide prompt. External deep research on Ramp's App Center supplied positioning, customer problems, differentiation, proof, and narrative material. The resulting outline was edited in Canvas and rendered with a Ramp-derived brand style guide in GenSpark.
→ A visually developed first draft that the host estimated was 89% complete before substantive human edits and verification.
For an executive marketing update, an AI assistant can search authorized email, documents, calendars, and project workspaces for demand-generation activity within a defined date range. It can organize milestones, ongoing projects, campaign performance, open questions, and follow-ups while identifying the source, date, and person associated with each update. Conflicts are placed in a separate review section before the material is converted into presentation content.
→ A faster, source-aware executive update assembled from scattered internal systems.
Common mistakes
Skipping the editing pass
The generated outline must be adapted to the company, audience, and industry. Treating prompt output as finished work produces avoidable errors and generic messaging.
Trusting generated evidence blindly
AI may select correct case-study data, but every statistic and customer claim still needs validation before it appears in a deck.
Ignoring rendering constraints
Animations, rollover effects, and full-slide regeneration can make editing slow or introduce visual problems. Specify static output where appropriate and inspect every rendered slide.
Is it for you?
Best for
Marketers, salespeople, founders, and executives who repeatedly create strategic or persuasive presentations.
Not ideal for
Users unwilling to verify source data, edit AI output, or provide enough context about the audience and objective.
From the transcript
“And there's three core phases that the AI will go through in this single prompt.”
“It extracts their specific methodologies. It creates these guiding principles and then maps those principles to the presentation structure.”
“So this is a prompt that creates a prompt.”
From the episode
How I Create Expert-Level Presentations Using AI in 20 Minutes (2 Prompts)