EP 554: No-Code Interactive AI: How to use Canvas, Artifacts for business growth
🎯 Summary
Podcast Summary: EP 554: No-Code Interactive AI: How to use Canvas, Artifacts for business growth
This episode of the Everyday AI Show focuses on demonstrating the practical, no-code capabilities of the latest interactive AI modes offered by major LLM providers: Google Gemini Canvas, ChatGPT Canvas, and Claude Artifacts. The host, Jordan Wilson, conducts a live, unedited experiment, feeding large, complex datasets (Google Analytics, Search Console, YouTube, email data, etc.) into these environments to see which platform can best generate useful, interactive software, dashboards, or analytical tools without requiring traditional coding.
The main narrative arc follows the setup, execution, and initial results of running two distinct, complex prompts across the three platforms, highlighting the immediate challenges (like rate limits and model performance) and the potential for rapid, custom tool creation.
1. Focus Area
The primary focus is on No-Code/Low-Code Interactive AI Development using specialized modes within leading LLMs. Specific applications include:
- Creating custom, interactive dashboards and business analytics tools.
- Leveraging proprietary or public data to unearth insights and automate tedious analysis.
- Comparing the functionality, ease of use, and output quality of Gemini Canvas, ChatGPT Canvas (specifically using the GPT-4o model), and Claude Artifacts.
2. Key Technical Insights
- Mode Activation is Crucial: Users must explicitly enable the correct mode (Canvas for Gemini/ChatGPT, or explicitly request Artifacts in Claude) to access the interactive rendering and code execution environment.
- Data Security Caveats: The host stresses the importance of understanding data privacy policies for each platform (ChatGPT, Gemini, Claude) before uploading sensitive business data, though he uses his own publicly available data for the demonstration.
- Limitations of Current Tools: These modes are powerful for creating simple, single-page applications or oversimplified tools (like a custom CRM interface), but they are not replacements for full-fledged, public-facing no-code development platforms.
3. Business/Investment Angle
- Efficiency Gains for Small Teams: The host argues that these tools allow small teams (like his own two-and-a-half person operation) to build custom processes and tools quickly, replacing hours spent researching and comparing third-party software solutions.
- Rapid Prototyping of Internal Tools: Businesses can instantly create tailored internal tools (e.g., a simplified CRM or specific sorting/prioritization application) that perfectly match niche requirements, bypassing the need for extensive software procurement or development cycles.
- Public Data Advantage: Companies, especially public ones, have vast amounts of publicly available data (10-Ks, financial filings) that can be leveraged by these LLMs to generate immediate, customized business intelligence.
4. Notable Companies/People
- Jordan Wilson (Host): Demonstrates the practical application of these tools using his own business data for the “Everyday AI Show.”
- Anthropic (Claude): Mentioned due to severe rate limiting issues encountered live, particularly when attempting to use the premium Opus 4 model, forcing a switch to the less powerful Sonnet 4.
- Google (Gemini): Uses Gemini 2.5 Pro within Canvas mode.
- OpenAI (ChatGPT): Utilizes Canvas mode, specifically noting that the GPT-4o model is required, as the GPT-4o Pro mode does not support Canvas.
5. Future Implications
The conversation suggests a future where specialized, interactive AI environments become standard operating systems for business analysis. The industry is moving toward LLMs that don’t just generate text or code, but render and execute functional applications directly within the chat interface, significantly lowering the barrier to entry for custom software creation. The success of these tools hinges on reliability and overcoming current performance bottlenecks (like Claude’s rate limits).
6. Target Audience
This episode is highly valuable for Business Leaders, AI Practitioners, and Technology Professionals who are looking for practical, immediate ways to leverage generative AI beyond simple text prompts, specifically those interested in low-code automation and data visualization/analysis.
🏢 Companies Mentioned
💬 Key Insights
"Google is as of this very minute embargo lifted. Uh, so I can talk about it. Uh, they just launched their version of, uh, you know, if you've used Claude Code, uh, from Anthropic, if you've used OpenAI's Codex. So now Google has their own free open-source, uh, AI agent that is a code, uh, uh, uh, uh, CLA. Uh, right. So super, uh, super exciting and impressive."
"You are highly visible for the search term, AI for marketing. All right. I didn't know that, but I could find that out pretty quickly. But your click-through rate is low at only 1.7%. So it's telling me to optimize this page title and meta description for this term."
"I had to use, I had to use Sonnet 4 instead of Opus 4 because apparently even though I paid $20 a month, I can't run a single prompt in Claude for Opus when I'm uploading all of these documents, which yeah, you got to fix that Anthropic. No one's taking you seriously. Like enterprises aren't."
"And that's another reason you need to do your best with data privacy, data security, all those things, right? When I'm working with clients, I'm not this lax with data, obviously, but when it comes to my data, it's like, I don't necessarily care."
"Do you need a simpler CRM with just certain things that you need for your sector? Maybe you don't need a whole, you know, Salesforce or Pipedrive or whatever CRM people are using these days. You can just create a very simple one yourself just specifically for the areas that you need it, right?"
"This is the real business use case that I do all the time. Right? People always ask me, well, Jordan, how are you using AI? Right? And they're like, you must have a team of like 20 people doing this. And I'm like, no, there are like two and a half of us. Right? And this is one of the reasons because I'm obviously using, you know, the latest and the greatest AI all day, right? From 5 a.m. till 10 p.m. I'm using things like Gemini Canvas, ChatGPT Canvas, Claude artifacts."