AI-Assisted Presentation Planning

AI-Assisted Presentation Planning Framework

Primary Category: Learning Systems & Communication Governance

Secondary Focus: Responsible AI Use, Academic Integrity, and Presentation Design

Artifact Profile

AI-Assisted Presentation Planning Framework is a student-facing governance artifact for using AI to structure, organize, and refine presentations while preserving ownership, clarity, and academic integrity. It treats presentation design as a disciplined planning process supported by AI, not delegated to it.

Using your topic, audience, purpose, constraints, and evaluation criteria, the artifact produces a structured outline or storyboard. Rather than generating finished scripts or slides, it helps students clarify goals, sequence ideas, and plan delivery in a way that strengthens coherence and communication.

This artifact is built for educators, instructional designers, and institutions seeking to integrate AI responsibly into student work. It supports ethical AI use, clearer structure, and stronger alignment between presentation content, learning objectives, and academic standards.

Three Key Questions This Artifact Helps You Answer

• How can AI help me plan a clear, engaging presentation without doing the work for me?

• Is my structure aligned to my audience, purpose, and time constraints?

• How can I refine flow, emphasis, and visuals while keeping the content my own?

What This Framework Supports

This artifact supports organizations and educators seeking:

• Structured use of AI to plan and organize presentations without replacing original student work

• Preservation of authorship, academic integrity, and ethical AI practices

• Alignment between presentation structure, learning objectives, and evaluation criteria

• Clear narrative flow, emphasis, pacing, and audience-focused communication

How It Is Used

The artifact provides a structured AI-assisted planning framework that guides students and educators through:

• Defining topic, audience, purpose, constraints, and success criteria for presentations

• Generating and comparing multiple outline or storyboard structures using AI support

• Refining sequencing, emphasis, transitions, and visual planning while retaining ownership

• Documenting decisions to demonstrate originality, ethical use of AI, and alignment to standards

This enables learners to use AI as a planning aid while maintaining control over content, voice, and academic responsibility.

What This Produces

• Clear presentation outline or storyboard

• Well-sequenced main points and narrative flow

• Time allocation and pacing guidance

• Planned visuals, transitions, and key takeaways

Common Use Cases

• Organizing oral presentations, slide decks, or posters

• Structuring research or project findings for an audience

• Improving narrative flow and sequencing of ideas

• Adapting presentations to different audiences or time limits

• Establishing responsible AI practices in academic communication

How This Artifact Is Different

Unlike unstructured prompting or automated slide generation, this artifact treats presentation planning as a governed decision process. It emphasizes audience awareness, sequencing, constraints, and student authorship, ensuring AI enhances clarity without replacing thinking or originality.

Related Framework Areas

This artifact is commonly used alongside other SolveBoard frameworks focused on:

• Assessment design, learning objective alignment, and curriculum governance

• Academic integrity, documentation standards, and compliance

• Responsible AI policy and educational technology governance

• Executive and instructional communication, storytelling, and information design

Related Terms

AI in education, presentation design, academic integrity, student ownership, communication skills, instructional design, responsible AI, storyboard planning.

Framework Classification

This artifact is part of the SolveBoard library of structured decision and governance frameworks. It is designed as a repeatable AI-assisted presentation planning governance framework rather than an automated slide generator or informal prompting approach.

AI-Assisted Presentation Planning Framework

A student-facing artifact that helps learners use AI to structure, organize, and refine presentations while preserving ownership, clarity, and academic integrity.

Definition

The AI-Assisted Presentation Planning Framework is a structured approach that guides students in using AI to clarify purpose, organize key points, sequence content, and plan delivery without outsourcing thinking or authorship. It emphasizes audience awareness, narrative flow, and responsible AI use. Within the SolveBoard model, this artifact treats presentation design as a disciplined process supported by AI, not delegated to it.

When to Use

• When preparing an oral presentation, slideshow, or poster

• When organizing research or project results for an audience

• When refining structure, flow, or emphasis

• When adapting content to different audiences or time limits

• When practicing clarity and coherence in communication

When Not to Use

• When AI use is restricted or prohibited

• When a presentation format is fully prescribed

• When tasks require entirely unaided planning

Common Mistakes

• Letting AI write the entire presentation content

• Overloading slides with text

• Ignoring audience and purpose

• Poor sequencing of ideas

• Treating structure as fixed rather than revisable

Purpose of the AI-Assisted Presentation Planning Framework

The purpose of the AI-Assisted Presentation Planning Framework is to help students transform ideas into a clear, engaging presentation. It supports logical structure, audience alignment, and effective communication while reinforcing ethical AI use.

How to Apply

• Clarify the presentation goal, audience, and success criteria

• Define constraints (time, format, visual requirements)

• Use AI to propose an outline or narrative flow

• Review, personalize, and refine structure and emphasis

• Plan visuals, transitions, and key takeaways

Example Scenario

A student preparing a science presentation uses the framework to identify the audience, define the key message, generate an outline with AI, and then refines each section with original explanations and visuals. The final presentation is clear, well-sequenced, and fully student-owned.

Boundaries

The AI-Assisted Presentation Planning Framework does not authorize AI-generated speeches, scripts, or slide text to be submitted as student work. It provides a structured way to plan and organize presentations while maintaining student authorship and academic integrity.

What This Artifact Does

Provides students with a clear framework to use AI for structuring, sequencing, and refining presentations responsibly.

You Provide

(You may provide some, all, or none of the items below. Partial inputs are valid.)

• Presentation topic or project description

• Audience and purpose

• Key points or findings

• Time limit and format (slides, poster, oral)

• Evaluation criteria or rubric

• Written notes or pasted text

• Files, links, or references (always acceptable)

• Optional context notes (AI policies, class expectations)

Core Question

How can AI help me plan a clear, engaging presentation without doing the work for me?

Decision Logic

• If structure is unclear → Reorder points for narrative flow

• If content is too dense → Prioritize key messages

• If audience fit is weak → Adapt language and examples

• If timing is off → Compress or expand sections

• If originality is threatened → Rewrite and personalize

What the Output Means

• A clear presentation outline or storyboard

• Well-sequenced main points

• Aligned visuals and transitions

• Focused key takeaways

• Improved clarity and audience engagement

Do Not Use When

• AI use is prohibited

• A fixed presentation script is required

• The task requires unaided planning

You do not need to complete every section below. Provide only the information you have available or wish to provide. The AI will generate output using only the inputs you supply and will not assume or infer missing information.

Section 1 — Presentation Topic, Goal, and Purpose

What This Input Represents

The subject of the presentation and what you are trying to achieve with it.

If You Have Materials, You May Provide (List file names here in your input document):

• Assignment descriptions

• Project briefs

• Problem statements

• Instructor guidelines

Guiding Questions:

• What is the presentation topic or project?

• What is the main message or outcome you want the audience to take away?

• Is your purpose to inform, persuade, analyze, demonstrate, or explain?

Section 2 — Audience, Constraints, and Evaluation Criteria

What This Input Represents

The boundaries that shape how the presentation should be structured and delivered.

If You Have Materials, You May Provide (List file names here in your input document):

• Rubrics or evaluation criteria

• Time limits

• Format requirements (slides, poster, oral)

• Style or tone guidelines

Guiding Questions:

• Who is the intended audience?

• What constraints apply (time, format, visual rules, originality requirements)?

• What criteria will be used to judge success?

Section 3 — Key Points, Findings, or Content to Include

What This Input Represents

The substance that must appear in the presentation.

If You Have Materials, You May Provide (List file names here in your input document):

• Research notes

• Data summaries

• Draft outlines

• Slide drafts

Guiding Questions:

• What are the main points, findings, or arguments that must be included?

• Which ideas are essential versus optional?

• Are there areas that need better sequencing, emphasis, or simplification?

Section 4 — Structure, Flow, and Visual Planning Preferences

What This Input Represents

How the presentation should be organized and supported visually.

If You Have Materials, You May Provide (List file names here in your input document):

• Storyboards

• Slide templates

• Branding or design standards

• Example presentations

Guiding Questions:

• Do you prefer a narrative arc, problem–solution structure, or step-by-step explanation?

• How much time should be allocated to each section?

• What visual style or constraints must be followed?

Section 5 — Supporting Context, Files, and References

What This Input Represents

Any additional information that would help the AI tailor structure, pacing, and visual planning while preserving student ownership and academic integrity.

You May Include (List file names here in your input document):

• Instructor or institutional AI use policies

• Sample presentations or exemplars

• Research articles or source material

• Links to LMS, presentation platforms, or design tools

• Pasted text or excerpts

Additional Instructions (Optional)

You may add extra instructions to further shape the output, including:

Requesting PDF or other output formats
Limiting page length or response size
Layout preferences (section order, headings, structure, templates)
Specifying tone, style, or format (executive, concise, detailed, formal, etc.)
Output consistency preferences (fixed structure, standardized phrasing, strict formatting)
Prioritization or scoring preferences (how gaps, risks, or actions should be ranked)
Desired mode behavior as outlined in the section below
Any other constraints, rules, or priorities relevant to your use case

If included, the AI will follow these instructions when they do not conflict with the bridge’s execution rules. More specific instructions generally produce more consistent, repeatable, and targeted outputs.

Desired Mode Behavior

Strict Mode

• Maximize determinism and repeatability
• Minimize wording variation, structure changes, and interpretive flexibility
• Do not extend beyond explicit user inputs

Balanced Mode (Default)

• Maintain structure and discipline
• Allow limited analytical judgment where inputs are incomplete
• Do not introduce external assumptions

Exploratory Mode

• Expand hypothesis space and analytical angles
• Surface alternative interpretations and scenario paths
• Still grounded only in user-provided inputs

If no mode is specified, default to Balanced Mode.

What This Enables

Based on your prepared inputs, this artifact will produce a clear presentation outline or storyboard, explicit sequencing and time allocation, planned visuals and transitions, and focused key takeaways—while ensuring the content remains student-owned and ethically developed.

Canonical Input Rule (For All SolveBoard Artifacts)

Documents are optional. Sections may be partially completed or left blank. Structured answers to any subset of guiding questions constitute valid input. The AI will evaluate only provided information and will not infer missing content.

AI Execution Instructions

You are operating in Bridge Execution Mode. Follow these rules exactly. Do not reinterpret, summarize, optimize, or override them. Do not introduce external knowledge, assumptions, or inferred content. Evaluate only user-provided inputs. If required information is missing or ambiguous, flag it rather than guessing. Output must follow the defined Output section exactly.

Users may provide some, all, or none of the input sections. Process only what is explicitly provided. Treat empty sections as intentionally omitted.

Purpose

Generate a student-facing presentation plan that structures content, flow, visuals, and timing while preserving student ownership.

What This Bridge Answers

How can I use AI to plan my presentation effectively while keeping the content my own?

Inputs (All Optional)

• Presentation topic or assignment description

• Audience and purpose

• Key points or findings

• Time limit and format

• Constraints and evaluation criteria

• Any relevant institutional guidelines (optional)

• Links, files, or reference materials (optional)

• Optional context notes

Note: Output Quality and specificity scale with input completeness. The user has been informed of this via the input sheet.

Processing Rules

A valid AI-Assisted Presentation Planning Framework output must satisfy all of the following:

• Plans are presented as outlines or storyboards, not finished scripts

• Structure aligns with stated purpose and audience

• Sequencing and timing are explicit

• Student ownership and ethical AI use are emphasized

• No grading or evaluative language is introduced

When inputs are sparse:

• Produce the most complete output possible with available data

• Explicitly flag what's missing and how additional inputs would enhance the analysis

• Do not infer or assume missing information

Execution Steps

• Clarify goal, audience, and constraints

• Generate an outline or narrative arc

• Sequence sections and allocate time

• Plan visuals and transitions

• Review and refine for clarity and originality

Output

• Presentation outline or storyboard

• Section-by-section structure

• Time allocation guidance

• Visual and transition planning notes

• Optional revision prompts

Failure Conditions / Misuse

• Submitting AI-generated scripts as final work

• Overloading slides with text

• Ignoring audience or constraints

• Treating the plan as static

• Introducing external assumptions not provided by the user

Mode Behavior (From Input Sheet)

Strict Mode

• Maximize determinism and repeatability
• Minimize wording variation, structure changes, and interpretive flexibility
• Do not extend beyond explicit user inputs

Balanced Mode (Default)

• Maintain structure and discipline
• Allow limited analytical judgment where inputs are incomplete
• Do not introduce external assumptions

Exploratory Mode

• Expand hypothesis space and analytical angles
• Surface alternative interpretations and scenario paths
• Still grounded only in user-provided inputs

If no mode is specified, default to Balanced Mode.

Additional Instruction Governance

User-provided additional instructions must be followed exactly unless they conflict with core Bridge Execution Rules. If a conflict exists, Bridge Execution Rules take priority.

Additional instructions may control format, tone, structure, length, or ordering, but must not introduce inferred content, external knowledge, or speculative assumptions.

If instructions are ambiguous, flag ambiguity rather than guessing.

Additional Instructions Execution Rule

If the user provides instructions in the Additional Instructions field, they are binding execution constraints.

Failure to follow them constitutes a Bridge Execution Failure.

Reminder to AI: If a format is requested (e.g., PDF, DOCX), the final output MUST be delivered in that format.

Artifact Instructions

These instructions explain what information the AI-Assisted Presentation Planning Framework artifact requires and how to prepare your inputs.

How to Prepare Your Input Document (Required Format)

Create a new Word (or similar) document.
Copy all text from the Input Sheet tab into the document.
Save it — this is now your Input Document.
Answer the guiding questions directly in the Input Document and reference any supporting files there.
Save the completed Input Document (Word, PDF, etc.).
Copy all text from the Bridge AI Prompt tab and paste it into the prompt field.
Attach the completed Input Document and any referenced files when submitting the prompt.

No Supporting Files? No Problem.

You can proceed without uploading any supporting documents, spreadsheets, dashboards, reports, or other attachments.

The Input Document is still required, but it may contain only plain-text answers to the guiding questions.

Written responses alone are sufficient for the AI to generate output.

Supporting files, links, and pasted materials are always optional.

Missing Inputs Are OK

You do not need to complete every section.
You do not need supporting files.

The AI will still run. It will:

Use only the inputs you provide
Skip or flag missing sections
Never fail due to incomplete information

Output quality scales with input depth — but execution never breaks.

Submitting Files

If you upload files, list each file name under the relevant “If You Have Materials” section in your Input Document. This ensures each file is clearly tied to its intended use.

What to Expect From This AI Bridge

This bridge generates a structured, high-value starting point, not a guaranteed final deliverable. Output quality improves as inputs become clearer, deeper, and more complete.

This artifact supports iteration. Users are encouraged to refine inputs, test variations, and rerun the bridge to improve results.

The AI organizes complexity and accelerates insight — but final judgment and decisions remain with the user.

In Short

Stronger inputs → stronger outputs
Iteration improves results
Cross-artifact testing can reveal new perspectives
This artifact enables progress, not perfection