Seamless Product Discovery

When you ask a shopping-related question (e.g., “best TVs in bright lighting”), ChatGPT suggests using its "shopping research" feature, which then digs into up-to-date product details from the web. 

Interactive & Personalized

ChatGPT asks follow-up clarifying questions about your budget, preferred features, and use-case, and you can steer the search by marking items as “more like this” or “not interested.” 

Well-Researched Buyer’s Guide

After gathering information, ChatGPT builds a curated buyer’s guide summarizing top picks, trade-offs, and key differences, helping you make smarter purchase decisions. 

Powered by a Specialized Model

The behind-the-scenes engine is a version of GPT-5 mini, which has been fine-tuned for shopping tasks: it evaluates reviews, specs, prices, and availability from reliable online sources.

Limitations & Future Potential

ChatGPT’s shopping tool can still get some details wrong, so it’s best to double-check prices and availability on retailer sites. You currently have to complete purchases outside ChatGPT, but Instant Checkout is coming soon. With memory enabled, it can also personalize recommendations based on past chats.

Allegations of Enron-Style Accounting

A Substack post accused Nvidia of using “neocloud” partners like CoreWeave as off-balance-sheet vehicles to inflate its revenue, likening it to the infamous Enron scandal. 

Formal Rebuttal via Analyst Memo

Nvidia circulated a seven-page memo to Wall Street analysts, strongly denying that it uses special-purpose entities (SPVs) to hide debt or manufacture revenue. 

Response to Michael Burry

Nvidia directly responded to criticism from investor Michael Burry, disputing his claims about its stock-based compensation accounting and share buybacks. 

Defense of Its Neocloud Strategy

The company says its investments in neocloud firms are transparent and legally independent, not accounting tricks, and that these firms primarily raise capital from third parties. 

Risks Acknowledged but Not Fraudulent

While Nvidia’s model raises eyebrows, analysts note it appears legal; however, if the AI bubble bursts, the company could face write-downs on its investments and a glut of unsold inventory.

Define Your Marketing Goal

Decide what the quiz should achieve: lead generation, product recommendations, audience segmentation, or brand engagement. A clear goal shapes the quiz tone, structure, and outcomes.

Train or Prompt Your AI on Brand Voice

Feed your AI the brand’s tone, target audience, and key messaging. This ensures all quiz questions, outcomes, and explanations feel consistent with your brand identity.

Generate Engaging, Personalized Questions

Use AI to create dynamic questions that adapt based on user inputs. Include a mix of fun, informative, and preference-based prompts to keep participants engaged and increase completion rates.

Build Instant, Insight-Driven Results

Have the AI generate tailored results that provide value, such as product suggestions, content recommendations, or customer profiles, using the user’s responses as data points.

Integrate and Optimize for Marketing Funnels

Embed the quiz on landing pages, social platforms, or email campaigns. Track performance metrics like completion rate and conversions, then use AI to refine questions and improve engagement over time.

Microsoft Designer

Microsoft Designer is an AI-powered graphic design platform that helps individuals and businesses create high-quality visuals from scratch, with just a few words. Designers can generate images, social-media graphics, invitations, or even collages by typing in simple prompts; the AI then suggests layouts, colors, and design elements. It also offers tools like background removal, smart resizing, and a “Brand Kit” to maintain consistency across.

KNIME

KNIME is an open-source data analytics and machine-learning platform built around a visual, node-based workflow interface. Users can drag and drop components to perform data extraction, transformation (ETL), model building, and visualization, without writing much (or any) code. With support for Python, R, and other tools, it combines the power of programming with the simplicity of a GUI.

Vocode

Vocode is an open-source platform for building hyper-realistic voice AI agents that can interact via phone calls, customer support lines, or other voice interfaces. Each “agent” is programmable; you can define its behavior, voice tone, and conversational style. Agents are capable of navigating phone menus, waiting on hold, speaking in multiple languages, and connecting to your systems to perform tasks. 

Petal (Document Analysis)

Petal is a generative AI document-analysis platform that lets you upload and “teach” your AI system on your own documents, research papers, internal reports, PDFs, etc. Once trained, Petal becomes a “digital expert”: you can chat with it, ask complex questions about your document corpus, and get fully sourced, context-aware answers.

DecaMint

DecaMint is an AI-powered talent and learning platform focused on developers. It gamifies coding challenges with AI-enhanced problem solving, enabling users to build real-world technical skills, train smarter, and validate their expertise. Through “Mint Core” quizzes and hands-on labs, developers grow their profiles based on actual performance, not just resumes. Recruiters can then discover talent via “proof-based” profiles, making hiring more meritocratic. 

Consigliere Labs

Consigliere Labs builds AI-driven creative growth engines for modern consumer brands. Their platform combines expert-led strategy with generative AI to automate and optimize marketing operations, content creation, and campaign insights. By supporting scalable, data-driven workflows, they help brands run smarter, more efficient marketing programs without sacrificing creativity. 

Careful Security

Careful Security is a startup at the intersection of AI, cybersecurity, and compliance. Their services include vCISO-level advisory, automated policy generation, real-time risk management, and continuous evidence collection. By integrating AI workflows with human security leadership, they help startups and growing companies achieve regulatory standards (e.g., SOC 2) without derailing product momentum. 

Bobyard

Bobyard uses AI, computer vision, and NLP to transform how landscapers and contractors estimate and bid on projects. Their “Pattern Search” feature automates the process of converting design plans into precise area measurements, identifying polygons (like lawns, pavers, mulch) from drawings. This reduces manual takeoff time significantly and improves the accuracy of cost estimates.