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  • 645. Andrew Persh, Founder of Oria, an AI PowerPoint Plug-in for Management Consulting

    645. Andrew Persh, Founder of Oria, an AI PowerPoint Plug-in for Management Consulting
    2026/05/18

    Show Notes:

    Andrew Persh, co-founder of Oria, an AI-based tool for creating PowerPoint slides demonstrates Oria. Andrew provides a brief history of his experience at McKinsey and the challenges he faced with existing AI tools for creating slides. He explains the idea behind Oria: to create complex slides that do not look like they were generated by AI.

    Oria Demonstration

    Andrew demonstrates Oria as an extension for PowerPoint, focusing on the text-to-slide feature.

    Converting text into design suggestions

    He explains the process of converting text into multiple design suggestions for slides.

    Andrew highlights that each design option is custom-built and fits within the user's existing PowerPoint template.

    Complex slides with data

    He shows how Oria can handle complex slides with data and create visually compelling designs.

    Data heavy slides

    3D visualizations

    Andrew discusses the ability of Oria to handle data-heavy slides and create 3D visualizations.

    Framework with icons

    He demonstrates how Oria can convert text descriptions into detailed slides with icons and text.

    Improve design

    Andrew explains the "improve design" feature, which allows users to specify detailed instructions for slide design. He shows how Oria can format slides and add visual elements based on user instructions. Andrew explains the ability of Oria to handle long content and extract key points for slides. He demonstrates how Oria can create a roadmap slide from a detailed text description.

    Roadmap slide

    He explains the process of using Oria with large amounts of text and how it can synthesize the content into a slide. Oria can build slides from normal human language meaning users do not need to know how to use prompts. Andrew shows how Oria can handle non-standard elements like chevrons and create fully editable slides.

    Screenshots to Slides Function

    Andrew demonstrates how Oria can handle screenshots and convert them into editable PowerPoint elements. He explains the limitations of other AI tools in handling charts and how Oria excels in this area.

    Sketch to slide feature

    Andrew introduces the "sketch to slide" feature, which converts handwritten notes into editable slides. He shows how Oria can switch between different templates for different clients and maintain consistency in slide design.

    Subscription Plans

    Andrew discusses the installation process of Oria and the availability of a free trial. Andrew explains the different subscription plans: $20 per month for basic use and $60 per month for heavy users. He mentions the option to purchase additional tokens for more complex slides.

    Promo code: UMBREX - 20% for 12 months.

    Timestamps:

    03:20: Demo of Oria's Text-to-Slide Feature

    06:30: Advanced Features of Oria

    11:07: Handling Long Content and Complex Slides

    15:29: Additional Use Cases and Features

    21:41: Subscription and Pricing Details

    Links:

    https://www.oria.one/

    https://marketplace.microsoft.com/en-us/product/office/WA200009750?tab=Overview

    This episode on Umbrex: https://umbrex.com/unleashed/episode-645-andrew-persh-founder-of-oria-an-ai-powerpoint-plug-in-for-management-consulting/

    Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com.

    *AI generated timestamps and show notes.
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    22 分
  • 644. Zsigmond Fajth, Gridd: Smart Templates for the AI Era

    644. Zsigmond Fajth, Gridd: Smart Templates for the AI Era
    2026/05/11
    Show Notes: Zsigmond Fajth is a McKinsey alum and co-founder of Gridd, a company that provides templates for the AI era, specifically for consultants. Zsigmond explains that Gridd is designed for independent consultants, leveraging his experience at McKinsey where he modernized client communication tools. Introducing Gridd Zsigmond mentions the creation of McKinsey's PowerPoint toolbar and the Pyramid add-in, which helped consultants create interactive presentations. He discusses the transition from traditional templates to AI-driven templates, aiming to serve a broader audience beyond McKinsey. Gridd's AI Templates Zsigmond describes Gridd's AI templates as having flexible layouts that auto-expand as content is added, solving issues with static PowerPoint templates. The templates include embedded AI prompts that can be copied and pasted into various AI tools like ChatGPT or Copilot. He explains that the templates are designed to accommodate content in a format that can be easily integrated into the AI tools. Gridd's Basic Setup Zsigmond demonstrates both the flexible layouts and the integration with AI tools. He shows the template library, which includes 260 templates covering various use cases like boxes, matrices, process flows, funnels, pyramids, and charts. The templates are designed to look like best practice consulting charts, with 60 charts being traditional Microsoft charts and the rest in a special format. Gridd's Special Formats Zsigmond highlights the special format, which includes elements like tables with blue boxes and sub-headers, typical of consulting slides. Gridd has a variety of templates, including frameworks, text, shapes, and quantitative info charts like column charts, bar charts, and waterfall charts. Adding Rows Gridd's Flexible Layouts Zsigmond demonstrates how to insert a new page with a Gridd element, add columns or rows, and resize elements to maintain alignment. The flexible layouts allow for quick edits without manual alignment, saving time and effort. He shows how to add additional levels to a pyramid framework and delete levels as needed, making it easy to adjust the structure. The auto-expanding capability saves templates by allowing them to accommodate more content without creating multiple versions. Expanding Copy and Paste Gridd Integration with AI Tools Zsigmond explains the process of using Gridd's custom prompts with AI tools like ChatGPT to generate content for the templates. The custom prompts include instructions on the layout and content format, ensuring the AI generates content that fits the template. Rearranging Columns Generating and Integrating Prompts Zsigmond demonstrates how to copy the prompt, paste it into ChatGPT, and specify the source of information to generate an executive summary. Using AI Prompt The generated content is then copied and pasted back into the Gridd template, which formats it automatically. Paste Prompt in ChatGPT Zsigmond contrasts Gridd's approach with traditional templates, which overdetermine output or require manual edits that are time-consuming. Paste into Gridd Gridd's approach allows for quick algorithmic edits, making it faster and more reliable to add or modify content than always using AI. The built-in prompts ensure consistent output and reduce the need for long and token-intensive layout generation. Zsigmond demonstrates how to modify existing templates to specify dimensions and content, making it easier to generate accurate and detailed pages. Gridd Pricing Packages Zsigmond outlines the pricing packages for Grid templates, including a free trial, an essentials package, and a full template package. The free trial includes the add-in and 23 templates, allowing users to test the tool without commitment. The essentials package, priced at $69, includes 60 layouts and is available with lifetime access. The full package, priced at $269, includes 260 layouts and 60 charts, also with lifetime access. All packages come with a 30 days satisfaction guarantee. Zsigmond mentions a launch promotion offering 33% off for Unleashed listeners, bringing the prices down to $49 for the essentials and $169 for the full package. Promo code: UNLEASHED Timestamps: 02:42: Overview of Gridd's AI Templates 04:16: Demonstration of Gridd's Template Library 08:02: Editing and Customizing Templates in Gridd 13:02: Integration with AI Tools for Content Generation 22:55: Advantages of Gridd's Approach 23:09: Pricing and Availability of Gridd Templates Links: Gridd website: www.griddtemplates.com This episode on Umbrex: https://umbrex.com/unleashed/episode-644-zsigmond-fajth-gridd-smart-templates-for-the-ai-era/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.
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    26 分
  • 643. Scarlett Jiang, COO at Vantage Global AI Shares 3 Live Client AI Use Cases

    643. Scarlett Jiang, COO at Vantage Global AI Shares 3 Live Client AI Use Cases
    2026/05/04
    Show Notes: Scarlett Jiang from Vantage AI, an AI product and services firm based in London, provides a one-minute overview of Vantage AI, highlighting their focus on data foundations and AI transformation. Vantage AI helps companies consolidate data from various systems into a single source of truth. Scarlett mentions the firm's experience with hospitality franchise clients, such as Burger King, KFC, and McDonald's. Mock Demo of Chatbot Scarlett introduces a mock demo of a chatbot designed for hospitality franchise owners. The chatbot can handle real-time queries about sales data, labor costs, and other key metrics. Scarlett explains the process of using the chatbot to query data, including translating natural language questions into SQL, which means users do not need to know SQL. Custom Dashboard Scarlett introduces the custom dashboard with data intelligence analyst chatbot functionality, allowing users to query via human natural language and retrieve insights from pre-ingested data warehouses. Sales Performance The chatbot can provide summaries of sales performance, labor data, and other operational metrics. Sales Performance Rank Scarlett shows how the chatbot can handle more complex queries, e.g.: If I had to focus on 3 stores to improve performance this quarter, which would you recommend and why? (chatbot showcase the capability to synthesize sales, reviews, and trend data into recommended action) Performance Graph The chatbot can provide detailed insights into top and bottom performers, including specific metrics like net sales and transaction counts. Scarlett discusses the benefits of using a chatbot for specific questions, rather than pre-built dashboards. The chatbot can also provide reasoning behind its answers, showing the steps it takes to generate insights. The Process of Building AI Tools Scarlett explains the process of building AI tools, starting with a diagnostic phase to understand the client's data journey and use cases. After the diagnostic, a strategic roadmap is created to prioritize use cases. A quick prototype is then developed, followed by data foundation transformation. The process can range from a few days to several months, depending on the complexity and scope of the project. Accounts Payable Month-end Reconciliation Demo Scarlett demonstrates a workflow automation tool for account payable month-end reconciliation. Accounts Payable Reconciliation This demo presents a finance use case built around month-end accounts payable reconciliation - a process every finance team navigates. Supplier invoice data sits across two systems: the AP subledger, which holds granular invoice-level detail, and the general ledger control account, which carries a single summary balance that should match. In practice, the two rarely align - late-posted invoices and manual journal entries that bypass the subledger are the most common culprits. This demo showcases an AI agent that pulls data from both sources, identifies and reconciles the gap automatically; and surfaces discrepancies to human reviewers for sign-off or overwrite - eliminating hours of manual investigation at close. Converting PDF Purchase Orders into CSV Files Scarlett demonstrates a tool that converts PDF purchase orders into CSV files. Snowflake Tables The tool extracts key information from the PDF, such as contract terms, payment schedules, and expenditures. The tool can transform the extracted data into a chart format for easier analysis. Reconciliation Report Payment Breakdown The tool is designed to automate the process of working with large amounts of unstructured data, reducing manual effort. Cost and Development Time Scarlett discusses the cost and development time for AI tools, noting that prototypes can be developed quickly. The bulk of the work involves data cleaning, ingestion, and transformation to ensure data accuracy. The development time can range from a few days to several months, depending on the complexity and scope of the project. The cost varies based on the specific requirements and the level of automation needed. Demonstration Videos: Pre-recorded Demo 1: Data Intelligence demo https://www.vantageglobal.ai/insights/demo-pages/data-intelligence-analyst Pre-recorded Demo 2: Accounts payable month-end reconciliation agent ​https://www.vantageglobal.ai/insights/demo-pages/ap-month-end-reconciliation-agent Pre-recorded Demo 3: Parsing unstructured data to structured data https://www.vantageglobal.ai/insights/demo-pages/purchase-order-explorer-agent Timestamps: 02:24: Demonstration of AI Chatbot for Hospitality Franchise Owners 07:14: Advanced Query Capabilities of the Chatbot 13:06: Process of Building AI Tools at Vantage AI 17:40: Case Study: Account Payable Month-End Reconciliation 28:03: Case Study: PDF to CSV Transformation 34:42: Cost and Development Time for AI Tools This episode on Umbrex: https://umbrex.com/unleashed/episode-643-...
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    32 分
  • 642. Saurabh Gupta, Co-founder Binocs, AI Driven Commercial Due Diligence

    642. Saurabh Gupta, Co-founder Binocs, AI Driven Commercial Due Diligence
    2026/04/27
    Saurabh Gupta, founder of Binocs, and provides a brief background on his career at KPMG and Verizon. Saurabh explains that Binocs uses generative AI to accelerate commercial due diligence, industry analysis, and company analysis. The tool is designed to support private equity clients, particularly in analyzing private companies. Saurabh mentions that the focus of the demo will be on industry analysis and investment memos. Binocs Home Page A Demonstration of Binocs Saurabh navigates to the commercial due diligence section of Binocs, highlighting four main areas: industry analysis, investment memos, growth strategy, and valuation analysis. Industry analysis Saurabh explains the process of conducting an industry analysis, including selecting a geography, industry segments, key players, and uploading documents. The tool allows for detailed analysis at various levels, from country to state, and is used globally by clients in different regions. The inputs required for an industry analysis, include industry name, geography (state, country or region), and optional focus area description and project code. How Binocs Generates Industry Reports Saurabh demonstrates how to input data for an industry analysis, selecting Colorado as an example geography. Geography Input The report generated includes an executive summary, industry overview, industry segments, key industry trends, customer overview, industry market size, and more. The report also includes references and sources used in the analysis, which can be linked to for further information. Company Snapshot Saurabh explains that the system builds a knowledge base each time a report is run, searching the web for relevant information and creating a detailed issue-tree based approach to identify the right references. Product Report Exporting Reports When asked if the reports can be exported and shared with listeners, Saurabh confirms that they can be downloaded as PowerPoint presentations or PDFs. The system allows users to share the report link without requiring a login, making it accessible to others. The extensive amount of information in the report, including various topic areas and subcategories is highlighted. Saurabh mentions that the report can take 30 minutes to 60 minutes to run, depending on the granularity of the analysis. Building Market Models Saurabh explains that the system not only compiles information but also performs cognitive work, such as building market models and triangulating market sizes. The system can calculate market sizes by analyzing various factors, giving an example of market sizing of Building Materials Distribution market size through the US value of construction, material share, and distribution margins. The detailed logic and assumptions used by the system allows users to audit and adjust the results. Market Size Estimation Saurabh provides an example of how the system triangulates market sizes and builds multiple market models for accuracy. Competitive Positioning Saurabh discusses how the system can analyze competitive positioning using social media reviews, G2 reviews, and comparative literature. The system can also perform financial benchmarking by connecting to public filings and comparing public competitors' revenue growth, profitability, and operating efficiency. It is noted that the system currently does not allow downloading data into Excel but mentions it is on the roadmap. Saurabh highlights the potential inorganic opportunities identified by the system and the detailed competitor profiles available in the appendix. The Company Profile Section Saurabh introduces the company profile section, which includes an investment memo for conducting a deep dive into a company. Investment Memo The system can generate an overview of the company's geographical footprint, products and services, distribution channels, and key purchasing criteria. The report also includes industry analysis and financial benchmarking, if financial data is available. Pricing Structure The conversation turns to the pricing of the reports, and Saurabh explains that unlimited access to the portal, which includes industry analysis and commercial due diligence reports costs $2,500 per month for three seats, while individual industry reports cost $500 each. The system allows users to purchase credits and run analyses as needed. Saurabh provides an overview of the current user base, which includes consulting firms, private equity companies, investment banks, and corporates. The system is used for various purposes, such as pre-LOI research, growth strategy, and industry analysis. Additional Features Saurabh mentions additional features like a chatbot that can answer questions and build proposals, interview guides, and expert interview notes. The system can connect to proprietary data sources and subscriptions, enhancing the depth of the analysis. The comprehensive nature of the tool and its potential to save time and resources for consultants and ...
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    29 分
  • 641. Lauri Euren, Operating.app: An AI-powered platform to run a consulting firm from resource planning to month-end close

    641. Lauri Euren, Operating.app: An AI-powered platform to run a consulting firm from resource planning to month-end close
    2026/04/06
    Show Notes: Lauri Euren, founder of Operating.app, explains that Operating is a tool for consulting firms or professional services that are growing and need help with staffing, internal resourcing, and month-end closes. The tool handles the workflow from time sheets to invoicing, supporting delivery across multiple projects. Operating.app Explained Lauri emphasizes that Operating is not a CRM system and can integrate with existing CRMs like Salesforce, HubSpot, and Pipedrive. Lauri explains that Operating is not for actual sales execution but for back-end processes like staffing, time sheets, and invoicing. The tool also monitors project health, margins, and financials, providing tracking and insights into project burn rates and utilization. Operating.app Demonstration Lauri demonstrates the main dashboard, which includes tabs for staffing, personal schedules, projects, and reports. Lauri describes the main entities in Operating: projects, people, and positions, and how they intersect to manage staffing and project assignments. Lauri explains the different sections and their functions. The dashboard includes pinned views for saved and shared views, time sheets for tracking hours, and various reporting options. Lauri highlights the importance of tailoring the use of Operating to different roles within the organization, such as consultants, COOs, and staffing managers. The invoicing feature generates invoices based on the invoicing schedule and billing type of the project. When saved, the invoice saves automatically to the accounting software used. Lauri explains that projects often come from CRMs like HubSpot or Salesforce and are enriched with metadata using AI tools like Copilot or GPT using the Operating MCP server and AI tools like Claude, ChatGPT, Gemini or Microsoft Copilot. Operating can handle different pricing structures, including per hour and fixed price models, and can model various types of work within the fixed price model. Planned vs Forecast Revenue Revenue Recognition The tool also includes revenue recognition features, allowing finance teams to track and recognize revenue accurately. Lauri mentions that Operating integrates with accounting tools like QuickBooks or NetSuite for billing and financial management. Clients Operating Serves Lauri discusses the ideal client size for Operating, typically starting from 10 people and scaling up to large firms with hundreds of consultants. The tool replaces spreadsheets and other point solutions for time tracking and resource planning. Lauri explains how Operating handles external consultants, tagging them differently in the system and managing their permissions and utilization. The tool allows for robust customization of permissions, ensuring that each user sees and edits only what they are allowed to. Managing a Project in Operating Lauri explains the end-to-end process of managing a project in Operating, from staffing to invoicing. The process includes adding a project, allocating team members, setting budgets, and tracking time sheets. Operating provides real-time profitability calculations and margin effects for projects. The tool allows for the creation of invoices based on time entries and integrates with accounting tools for final billing. AI Integration with Operation Lauri highlights the AI integration with tools like Claude, allowing users to query and manage projects using natural language. The MCP server in Operating acts as an AI agent, consuming data and executing queries based on user permissions. Customers can build automated tasks and health checkers using Cloud Code and AI, enhancing efficiency and accuracy. The tool's flexibility and customization options make it suitable for various roles and project management needs. Pricing Model Lauri explains the current pricing model for Operating, which is $22 per person per month for the full module and $11-$13 for individual modules. The tool is designed to be more affordable than enterprise competitors, making it a scalable solution for growing consulting firms. Lauri provides information on how interested parties can start a free trial or book a demo on the Operating website. Timestamps: 0:02: Introduction and Overview of Operating App 02:44: Features and Functionality of Operating 06:39: Detailed Walkthrough of Operating Dashboard 08:15: Integration with CRMs and AI Tools 13:39: Client Segment and Implementation 18:26: End-to-End Project Management in Operating 26:03: AI Integration and Customization 27:57: Pricing and Availability Links: Operating Website: https://www.operating.app/ MCP Server (Use directly in Claude, ChatGPT...): https://www.operating.app/blog-posts/ai-consulting-mcp-server Lauri's LinkedIn: https://www.linkedin.com/in/eurenl/ This episode on Umbrex: Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build ...
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    29 分
  • 640. Raman Julka, The AI Platform Turning Raw Business Data into Consulting-Grade Insights in Under 10 Minutes

    640. Raman Julka, The AI Platform Turning Raw Business Data into Consulting-Grade Insights in Under 10 Minutes
    2026/03/30
    Show Notes: Raman Julka is the founder and CEO of ValueChaser AI Labs and a former McKinsey Partner, where he served clients on operations, procurement, and digital topics and was a leader in McKinsey's procurement analytics practice. ValueChaser.ai is an AI-powered strategy and diagnostic platform that transforms raw business data into consulting-grade insights in under 10 minutes — work that typically takes analysts and consultants 1–3 weeks. Unlike generic AI tools, ValueChaser produces structured, benchmarked, auditable outputs: full diagnostic reports with health scoring, value levers, implementation steps, and action plans. It does not produce summaries or chat responses. It produces deliverables (pdf reports, excel models and csv files) your team can review, present, and act on. ValueChaser.ai Homepage ValueChaser.ai Demonstration In this episode, Raman gives Will a live demonstration of two products: • Company Diagnostics — upload a 10-K, annual report, or financial statements and receive a full business diagnostic with peer benchmarks, health scoring across functions, a value creation roadmap, and a detailed Excel model. Powered by a curated library of thousands of functional levers across industries and sub-industries. • Procurement Insights — upload transactional AP or spend data and receive category savings analysis, supplier intelligence, negotiation playbooks, and a prioritized action plan mapped to industry-specific procurement taxonomies. Includes a full categorized CSV of every transaction with confidence levels. Tested on datasets up to 1 million rows across 45 sub-industries. Value Chaser vs ChatGPT Raman explains how ValueChaser differs from simply prompting ChatGPT: deterministic and auditable outputs (not probabilistic), multi-model orchestration (Gemini for large data, Claude for narrative and reporting, Perplexity for market research), and enterprise-grade data security. Pricing and Subscription The platform is priced at $900 per report with subscription and white-label options available. It publicly launches on April 8, 2026. Subscribers get their own space, access to historical reports, and the option to white-label the platform. The tool is currently in private beta, with a few consulting companies, private equity funds, and independent advisors piloting it. Raman highlights ongoing developments, such as a module for sim and data room analytics for PE. The platform is also building a proposal development and client intelligence module for consulting engagements. The tool is designed to evolve based on client feedback and real-world testing. Interested listeners can reach out to Will directly for an exclusive discount on their first report. Products covered: Company Diagnostics, Procurement Categorization, Procurement Insights. Coming soon: CIM & Data Room Analytics for PE, Proposal Development & Client Intelligence. Source of Data ValueChaser.ai relies on uploaded data rather than searching the web. Raman explains that the tool uses three sources of information: uploaded data, information shared by the user, and curated knowledge from experts. The platform includes standard functional levers and taxonomies for different industries and sub-industries. Raman highlights the importance of curated knowledge in providing comprehensive outputs. The tool's hypothesis is that analytics expertise can be drawn from models with proper calibration and control. Example of a Diagnostic Report Raman shows the diagnostic report for a healthcare company, which includes an executive summary, financial performance, and areas of opportunity. The report highlights financials, extended financials, and specific levers for the business, with detailed calculations and implementation steps.The health score tracks the business across functions, using benchmarks built from publicly available sources. The market intelligence section provides an overview of the company's market position and growth drivers. Example of a Procurement Insights Report Raman demonstrates the procurement insights report for a software company with transactional spend data. The platform categorizes spend to industry-specific taxonomies and maps against intelligence playbooks to provide levers and actions. The report includes a high-level spend overview, maturity score, quick wins, and detailed recommendations. The tool provides a detailed CSV file listing transactions with categorization and confidence levels. Timestamps: 02:03: Homepage and Product Overview 03:03: Data Upload and Validation 05:59: Multi-Source Information and Knowledge Base 08:48: Company Diagnostics Report 20:11: Procurement Insights Report 26:44: Comparison with ChatGPT 27:04: Pricing and Customer Set 29:09: Future Developments and Use Cases Links: Raman's LinkedIn: https://www.linkedin.com/in/ramanjulka Website: www.valuechaser.ai Company LinkedIn: https://www.linkedin.com/company/valuechaser-ai-labs-inc/about Example...
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    32 分
  • 639. Fred Brouillet, LearningFrontier.ai: Turning Books into AI Avatar Consultants

    639. Fred Brouillet, LearningFrontier.ai: Turning Books into AI Avatar Consultants
    2026/03/23
    Show Notes: Learn Directly from Authors on LearningFrontier.ai Fred Brouillet, founder of LearningFrontier.ai, explains how the platform works and how it helps users. Fred describes the current version of Learning Frontier.ai as an AI tool that allows users to interact with AI clones or avatars of famous authors in the Lean space. Users can also access avatars of great thinkers from the past, including Freud, Nietzsche etc. The platform aims to transform static knowledge from books into dynamic, interactive experiences, enhancing coaching and implementation. Fred highlights the scalability advantage of AI avatars over real-life experts, enabling simultaneous interaction with multiple users. The tool enhances changes the coaching space by providing readers access to experts that is cost-effective and immediate. Build your own book library on LearningFrontier.ai A LearningFrontier.ai Demonstration Fred shares his screen to demonstrate the LearningFrontier.ai platform. The platform features a library where users can buy and read books, similar to Apple Books or Kindle. Users can chat with their books, similar to using ChatGPT, but with LearningFrontier.ai, users can access private knowledge and receive citations for answers, whereas ChatGPT only has access to public knowledge. Fred demonstrates chatting with his own book, Frontier Lean, and explains how the platform provides detailed citations and passages. Currently, there are 100 new and classic authors connected to the platform. Fred introduces the AI avatar feature, where users can interact with an AI version of the author. Introducing the LearningFrontier.ai Avatar The AI avatar, created from a picture or video recording, can guide users through the implementation of the book's concepts. Fred explains that the AI avatar can ask questions to understand the user's context, similar to a consultant. The AI avatar can also provide ground knowledge beyond the book's content, making it a versatile coaching tool. Fred demonstrates how the avatar works when asked questions and explains how it can deliver information via text or voice, or video call depending on the user's requirements. He explains how easy it is to add questions to a previous query and how LearningFrontier.ai stores information to access and re-engage with a previous discussion. Chat with your books and understand better their concepts Dynamic Coaching with LearningFrontier.ai Fred demonstrates the coaching mode, where the AI avatar asks clarifying questions to understand the user's problem. The platform includes specific modes for problem-solving, such as the Toyota Kata approach. Users can build a value stream map in real-time during the coaching session, enhancing the learning experience. Fred explains how the platform updates the value stream map as the conversation progresses, providing a dynamic learning tool. Speak with an AI Avatar Digital Twin of the author Learning Frontier.AI comes with a number of Agentic functionalities to build VSM, A3 and Toyota Kata style coaching, etc... How Authors List Books on LearningFrontier.ai When asked about the process for authors to list their books on the platform, Fred explains that authors can reach out to him directly on LinkedIn or through the Learning Frontier.ai website. The platform offers a monthly subscription of £20, providing access to close to 100 books, including classic authors and new authors. Users can purchase individual books for a one-time cost, which grants lifetime access to the book and its associated AI avatar. Timestamps: 02:56: Demonstration of Learning Frontier.ai Platform 05:29: Interaction with AI Avatars 12:28: Coaching and Problem-Solving Modes 16:55: Subscription and Book Purchase Details Links: Website: https://learningfrontier.ai/ LinkedIn: https://www.linkedin.com/in/frederic-brouillet-consulting/ This episode on Umbrex: https://umbrex.com/unleashed/episode-639-fred-brouillet-learningfrontier-ai-turning-books-into-ai-avatar-consultants/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.
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    20 分
  • 638. Nir Eyal, Author of Beyond Belief

    638. Nir Eyal, Author of Beyond Belief
    2026/03/09
    Show Notes: Nir Eyal, author of Hooked and Indistractable, talks about his new book Beyond Belief. Nir explains the inspiration for writing the book and the book's purpose: to help people process information and put it into practice. Nir shares his motivation for writing the book, focusing on the psychology of motivation and the importance of perseverance and adaptability. He talks about the missing component in moving from belief to action, and discusses the concept of motivation as a triangle, emphasizing the role of belief in sustaining motivation. Beliefs Affecting Perception The conversation turns to stories from the book about beliefs affecting perception, such as the Toyota vs. GM prism and the expensive vs. cheap glass of wine experiments that proved the participants actually believed to be truths based on the information received over the facts. Nir explains how beliefs can literally change what we see, citing examples like people on diets seeing food as larger and people with a fear of heights perceiving distances as further. He discusses how brands and luxury goods affect perception. Nir emphasizes that our beliefs shape what we see, feel, and do, and that understanding this can help us improve our lives. Limiting vs Liberating Beliefs When asked how to identify and change limiting beliefs, Nir explains that beliefs are tools, not truths, and that understanding this can help us improve our lives. Applying this approach to relationships to illustrate how it works, he shares a personal story about a conflict with his mother and how he used the Work of Byron Katie to question his beliefs. Nir outlines the four questions from "The Work" that help identify and change limiting beliefs: Is it true? Is it absolutely true? Who am I when I hold this belief? Who would I be without this belief? Magical Thinking vs Mental Contrasting Nir talks about how to apply the belief inventory to other areas of life, such as business and company culture. He explains that beliefs are the operating system of our minds and that understanding this can help us improve our relationships and business practices. He discusses the concept of mental contrasting, which involves visualizing both the desired outcome and the obstacles to achieving it. Nir emphasizes that magical thinking, such as positive thinking without action, can be harmful and that mental contrasting is a more effective approach. Prayer for the Unfaithful On the chapter about prayer in the book, Nir explains that prayer has benefits even without faith, citing a study where people who prayed, even without faith, had better pain tolerance. He shares his experience of interviewing five faith leaders to learn how to pray when uncertain about God. Nir discusses the benefits of prayer, such as longer life, more life satisfaction, and less depression, and how he has incorporated prayer into his life. Setting Failure Goals When questioned about the concept of failure goals, Nir explains that failure goals involve setting goals for how many times you try, rather than focusing solely on success. He discusses the importance of celebrating the process and the journey, rather than just the outcome. Discipline in Practice Nir shares that he has incorporated prayer and improved his relationships through new practices. He discusses the concept of daily mantras, such as "we are all working with the tools we have" and "love is measured by the benefit of the doubt," to help shed limiting beliefs. Nir emphasizes the importance of these practices in improving his psychological well-being and relationships. Timestamps: 04:30: Beliefs Shaping Perception 09:09: Identifying and Changing Beliefs 22:05: Practical Applications of Belief Inventory 26:44: The Power of Prayer Without Faith 36:42: Failure Goals and Embracing Discomfort 41:56: Daily Practices and Mantras Links: The Book: geni.us/beyondbelief Bonus content and the 30-Day Belief Transformation Journal: nirandfar.com/beyond-belief Website: http://nirandfar.com Instagram - http://instagram.com/neyal99 LinkedIn - https://www.linkedin.com/in/nireyal/ Youtube - https://www.youtube.com/user/nirandfar Twitter - https://twitter.com/nireyal Facebook - https://www.facebook.com/nirandfar/ This episode on Umbrex: https://umbrex.com/unleashed/episode-638-nir-eyal-author-of-beyond-belief/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.
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