In a recent LinkedIn post, Ruben Hassid explores advanced techniques for leveraging the AI chatbot Claude, moving beyond basic prompt engineering to unlock its full potential. Hassid frames users who are only using single-sentence prompts as being at “Level 1,” suggesting a significantly higher capacity within the tool that many are not accessing.
Hassid’s central thesis is that effective AI interaction requires a strategic, multi-layered approach, moving from simple text commands to more sophisticated methods involving voice, app integration, and custom AI training. He outlines seven distinct levels of interaction, each building upon the last to achieve more personalized and powerful results.
From Basic Prompts to Conversational AI
The foundational level, according to Hassid, involves a simple yet effective prompt modification. “End every prompt with ‘Ask me questions first.’ Claude interviews YOU. You click the answers. The output gets 10x more personal,” he explains. This technique shifts the interaction from a one-way command to a guided dialogue, allowing the AI to gather necessary context directly from the user.
Moving beyond typing, Hassid introduces “Level 2 → Talk. Don’t type.” He highlights the speed difference between speaking and typing, recommending the use of voice-to-text tools like Wispr.ai. “Your prompts get longer, richer & take half the time,” Hassid asserts, emphasizing efficiency gains through voice input.
Leveraging Claude’s Application and Integration Capabilities
Hassid then details how to utilize Claude outside the basic chat interface. “Level 3 → Leave the chat.” By using the Claude app’s “Cowork” tab, users can upload documents or data and instruct Claude to perform complex tasks, such as generating spreadsheets. Hassid provides an example prompt: “Build a spreadsheet to do [X]. Ask me what you need first.” He notes that this can yield a functional spreadsheet in minutes.
The integration of external applications marks “Level 4 → Connect your apps.” Hassid points out the ability to connect services like Gmail, Calendar, and note-taking apps through Claude’s customization settings. This allows for more context-aware interactions, such as preparing a user for their day by synthesizing information from emails, calendars, and meeting notes.
Personalization and Advanced Model Usage
A key aspect of Hassid’s advanced strategy is “Level 5 → Teach it once. Use it forever.” This level focuses on creating custom AI skills using Claude’s `/skill-creator` function. Users can train Claude to perform specific tasks, like generating spreadsheets in a preferred format, by answering its clarifying questions. Once saved, these custom skills can be invoked in any future chat.
Hassid also touches upon optimizing AI performance through model selection in “Level 6 → Master the models.” He advises using different Claude models, such as Fable 5.1 for quick tasks and Opus 5 with “Effort High” for intensive work, suggesting that the “wrong model wastes the exact same prompt.”
The Ultimate Level: Code Generation and Trust
The highest level described is “Level 7 → Vibecode.” This involves using Claude’s code generation capabilities, accessed via the `“Build a page where people book a 30-min call with me. Ask me questions first.” 4 mins later, it works. You built software. In English.
Throughout these levels, Hassid reiterates the importance of his initial prompt tip, stating, “Every single level runs on ‘Ask me questions first.'” He concludes by offering a free resource: his personal Claude skill library, accessible via a provided link, to help users implement these advanced techniques.
📝 About This Content
This article is based on insights shared by Ruben Hassid on LinkedIn.
📅 Originally posted on September 15, 2026 | View original post on LinkedIn →