
243 - The Simple Claude Code Trick That Will Save You Hours with Elizabeth Knopf
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Join me, Nik (https://x.com/CoFoundersNik), as I sit down with Elizabeth Knopf (https://x.com/leveragedupside). This week, we troubleshoot some of my biggest frustrations with using the Claude Code interface. As a business owner trying to leverage AI for development, I was wasting hours "chunking" my prompts because I thought the system couldn't handle long text.
Liz drops a truth bomb that saved my week: that short number in the terminal is just shorthand, and Claude actually knows the full prompt. We also tackle the ultimate annoyance: when the chat gets too long and forces a new context.
Liz shares her setup for automatically generating a log file and a reusable context document to maintain conversational memory across sessions. If you’re juggling multiple projects, we also talk about why a clean file structure is non-negotiable.
Plus, Liz reveals the power of planning mode for complex ideation and hints at her grand vision for building an AI brain that ingests all your data, from RSS feeds to Google Drive notes.
Questions This Episode Answers:
1. How can I stop the Claude Code chat from getting "too long" and losing context?
2. How does using planning mode help with ideation and complex reasoning?
3. Do I need to break up long prompts if Claude Code pastes them as short numbers (e.g., "23")?
4. Why is setting up a proper file structure essential when running multiple Claude projects?
5. What slash command can I use to undo recent changes or mistakes?
Enjoy the conversation!
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This week we covered:
00:00 Introduction to OpenAI's Agent Builder
03:05 Understanding Agents vs. Automation
05:48 Navigating the OpenAI Interface
09:09 Exploring Use Cases and Templates
11:57 Building a Research Bot with Agent Builder
14:49 Guardrails and Safety in Agent Workflows
18:04 Live Demo: Data Enrichment Use Case
20:55 Sentiment Analysis on Social Media
23:48 Challenges and Limitations of Agent Builder
27:05 Comparing Agent Builder with Other Tools
29:52 Future Potential and User Experience
33:03 Conclusion and Call to Action
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