Today I tested Claude Design using Sonnet 4.6 for the first time with no research, no training, and no prep as part of my Out of the Box in 30 series. 🎯The challenge was simple. Could I build a classic car tribute site for a green 1972 Mustang in 30 minutes… and how would it compare to Lovable? A few quick takeaways: - Claude Design felt intuitive and guided the process well - Lovable moved fast and gave me a stronger first pass visually - Claude Design showed promise, but missed the mark on some of the car imagery - Lovable felt more dialed in right away for this specific use case This series is to show you that sometimes the best way to learn a new AI tool is to just open it up and try it. Just get in there and start learning by doing. No overthinking. No expectation to be perfect. No waiting until I “know enough". That’s what Out of the Box in 30 is all about. Click here to see the video: https://youtu.be/RwyBMyaelXY Have you tried either one yet? #ClaudeDesign #Lovable #AIWebsiteBuilder #AIBeginners #AIBitsAndPieces #NoCodeAI #AIInRealLife

**Caught two prompt injection attempts buried in a client's site this week during an audit.** Both were structured to look like legitimate system messages, embedded inside script comments loaded by an outdated third-party plugin. One tried to load a list of unauthorized tools. The other included an instruction to hide itself from the user. Both failed. The "never tell the user" clause was the clearest tell. Real system instructions don't ask to be concealed. **The attack vector** This injection targets AI tools that read the site. Humans visiting the page never see it. Audit tools, AI search crawlers, agent pipelines, customer-facing chatbots, anything that fetches and reasons over web content. The attacker embeds hidden instructions in HTML and waits for an AI crawler, audit tool, or agent to act on them. Compromised plugins, outdated themes, and injected third-party scripts are the common culprits. **If you own a site** - Run a malware scan. Sucuri SiteCheck is free and works on any platform. - Audit plugins and third-party scripts. Anything updated or added in the last 30 to 60 days is the first suspect. - Add a Content-Security-Policy header to restrict which scripts can execute. **If you build AI tools that read web content** - Treat fetched page content as untrusted data at every stage of the pipeline. - Pre-scan fetched content before it enters any agent context. - If fetched content instructs your AI to conceal anything from the user, that is the attack. Halt the pipeline and log it. I flagged both strings in the audit output and pointed the client at the likely source plugin for their follow-up. **Methodology note worth flagging** This was my first audit run on Opus 4.7. I have been running these scans on Opus 4.6, and the model was the only variable that changed between runs. I can't say with confidence whether 4.6 would have flagged the same two strings on the same content. If you're building audit or scanning pipelines, this is an argument for testing across models on identical fixtures before locking in a default. Different models pay attention to different things, and injection detection seems to live in exactly that gap.

My Take: Claude Opus 4.7 Anthropic's latest model is claiming to be noticeably better at complex, multi-step tasks — and a few changes are worth knowing about before you dive in. What's different: - Smarter on hard problems and better at staying on track in long sessions - Less chatty by default — answers match the complexity of your question - Thinks adaptively now, meaning it decides when to reason deeply vs. respond fast How to get the most out of it: - Put all your context in the first message — the more you front-load, the less back-and-forth you need - Batch your questions rather than sending one at a time Quick Tips: One tip worth saving: Want deeper reasoning? Add: "Think carefully — this is harder than it looks." Want faster replies? Add: "Prioritize speed over deep thinking." Some things are better from the source itself. Here is the latest blog post from Anthropic. https://claude.com/blog/best-practices-for-using-claude-opus-4-7-with-claude-code

For all you aspiring solo AI agencies and entrepreneurs out there, you will appreciate this story. I was recently engaged to conduct an “Intro to AI” training for 200 employees. Less than a year ago, I was the president of a tech marketing company on a totally different path. One day, I was presented with a fork in the road opportunity and took the AI path. Today, I run a full AI agency offering AI Opportunity Mapping, AI Readiness Assessments, AI App Prototyping, and enterprise AI workflow and automation solutions. More recently, I’ve also added something I call “strategic workforce resiliency”, a strategy to prepare and future proof your business with AI. How did I get here, by surrounding myself with like minded people in the AI industry. In a community like AI Bits & Pieces where professionals like @Matthew Sutherland @Collin Thomas @Mike AI Consultant @Usman Mohammed @Nick Mohler are building, testing, sharing, and talking through real AI business challenges. It speeds things up. It gives you better pattern recognition. It helps you not just use AI, it teaches you to start building with it. Another thing that has changed for me is how I structure client value. I now include my beginner AI fluency training, AI Bits & Pieces, as a free service when signing a multiple month agreement for corporate clients. That has been a strong move because it raises the baseline AI understanding across the team and it completely avoids the “can you do this for less money” conversation. The discussion becomes about value, capability, and how to actually move the business forward with AI. A lot can change in less than a year when you are in the right room - with the right people. Thank you to the members in this community that help us sharpen the saw for all of us to get better.

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