AI Pitch Deck Creator for Google Slides

Automatically generate professional pitch decks in Google Slides using AI and live web research. This workflow gathers user input, searches Google for relevant information, retrieves content from URLs, and builds a tailored presentation—ideal for startups, sales, or marketing teams needing instant, data-driven pitch decks.

How the AI Flow works - AI Pitch Deck Creator for Google Slides

Flows

How the AI Flow works

User Input Collection.
Collects the subject and brief description from the user as the basis for the pitch deck.
AI Language Model Setup.
Configures an OpenAI language model to generate content and guide the workflow.
Automated Web Research.
Uses Google Search and URL content extraction to gather relevant, up-to-date information from the web.
AI Agent-Driven Pitch Deck Creation.
An AI agent organizes the research and user input, using tools to create a structured pitch deck in Google Slides.
Presentation Delivery.
Displays or shares the generated pitch deck with the user for immediate use.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

See ChatInput

LLM OpenAI

FlowHunt supports dozens of text generation models, including models by OpenAI. Here's how to use ChatGPT in your AI tools and chatbots.

See LLM OpenAI

Tool Calling Agent

Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.

See Tool Calling Agent

Create Google Presentation

Easily automate the creation of Google Slides presentations with the Create Google Presentation component in FlowHunt. Define your presentation title, first slide content, and streamline slide generation for seamless integration into your workflow.

See Create Google Presentation

GoogleSearch Component

FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.

See GoogleSearch Component

URL Retriever

Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.

See URL Retriever

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

See Chat Output

Flow description

Purpose and benefits

Workflow Overview

This workflow automates the generation of a professional pitch deck in Google Slides, leveraging AI and real-time web research. It is designed to receive a subject and optional description from the user, gather relevant information from Google Search, retrieve and process web content, and assemble the findings into a structured presentation—all with minimal manual intervention.

Such automation is highly valuable for scaling repetitive tasks like creating business decks, sales presentations, or research summaries. It ensures up-to-date, data-driven content and saves significant time compared to manual research and presentation building.

Step-by-Step Flow Description

1. User Input

  • Node: ChatInput
  • Function: Captures the user’s input, which is the subject and optionally a brief description for the pitch deck.
  • Output: The user’s message is forwarded as the main prompt for the workflow.

2. Language Model Initialization

  • Node: LLM OpenAI
  • Model Used: GPT-4.1 (customizable to other OpenAI models)
  • Settings:
    • Max Tokens: 3000
    • Temperature: 0.7 (for balanced creativity and coherence)
    • Use Cache: Enabled for efficiency
  • Function: Provides advanced natural language understanding and generation abilities, enabling the agent to comprehend the prompt and generate structured content.

3. Tool-Calling Agent

  • Node: Tool Calling Agent
  • Function: Orchestrates the creation of the pitch deck by:
    • Accepting user input and context
    • Utilizing connected tools (Google Search, URL Content Retriever, Google Slides Creator)
    • Following a system message that instructs it to build a professional pitch deck in Google Slides, using Google as an information source
    • Limiting iterations to 20 to ensure quick responses

4. Connected Tools

The agent can call the following tools dynamically as needed:

Tool NamePurpose
Google SearchSearches Google for information related to the subject.
URL Content RetrieverFetches and processes the content of found URLs.
Google Slides CreatorAutomatically generates a new presentation and slides.
  • Node: GoogleSearch
  • Function: Performs a Google search (country: US, language: EN, location: NYC) and returns the top 3 results relevant to the query.
  • Why Useful: Ensures the most current and relevant information is available for the pitch deck.

b. URL Content Retriever

  • Node: URLContent
  • Function: Downloads and processes content from URLs found via Google Search, extracting key sections (headers, paragraphs, metadata).
  • Why Useful: Allows the agent to quote, summarize, or analyze source material for inclusion in the presentation.

c. Google Slides Creator

  • Node: CreateGooglePresentation
  • Function: Programmatically creates a new Google Slides presentation, including title, subtitle, and subsequent slides as instructed by the agent.
  • Why Useful: Automates the otherwise manual and time-consuming process of slide creation.

5. Output Display

  • Node: ChatOutput
  • Function: Presents the generated message or final output (e.g., confirmation or link to the created Google Slides presentation) to the user in the chat interface.

Data Flow Diagram

  1. User Input → Tool Calling Agent
  2. LLM OpenAI → Tool Calling Agent (provides natural language capabilities)
  3. Google Search Tool → Tool Calling Agent (as an agent tool)
  4. URL Content Tool → Tool Calling Agent (as an agent tool)
  5. Google Slides Tool → Tool Calling Agent (as an agent tool)
  6. Tool Calling Agent → Chat Output (final response to user)

Benefits and Use Cases

  • Scalability: Enables one person (or bot) to generate many presentations quickly.
  • Automation: Reduces manual research and slide-building time from hours to minutes.
  • Consistency: Ensures all presentations follow a professional, repeatable structure.
  • Up-to-date Content: Incorporates real-time information from the web.
  • Versatility: Can be adapted for use in sales, fundraising, education, consulting, and more.

Why This Is Useful

This workflow is ideal for anyone who frequently needs to create tailored, data-rich presentations—such as entrepreneurs, marketers, analysts, or educators. By automating research and slide creation, it frees up time for higher-level thinking and strategy, while ensuring that every deck is informed by the latest available information.

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