164 conversations

The user is exploring how to set up a prompt management system and Edge Function architecture in their Sparkii database, similar to an existing WOTCFY setup. The assistant is guiding them through understanding their current data (chat histories, embeddings), identifying potential prompts, and planning an MVP. Key discussions involve analyzing metadata, exploring embedding capabilities within Claud

The user clarified that the previously generated persona-specific repository analysis files were too long. The goal is to create concise FAQ-style summaries (15-30 lines with 3-5 Q&A pairs) for each persona. The AI has confirmed understanding and is in the process of converting the existing detailed analyses into this new, shorter FAQ format, ensuring the output meets the specified length and stru

The assistant clarifies that previous analyses focused on 'sophisticated' prompts (longer, patterned messages) rather than the total volume of user messages. This led to a significant undercount, particularly in July 2025 where the actual user message volume was over 32,000, with over 30,000 directed at Claude Code, compared to the previously reported 703 'sophisticated' prompts. This correction h

The user questioned the discrepancy between reported 'sophisticated' prompt counts and the actual volume of messages. The assistant acknowledged a significant undercount, explaining that only messages meeting specific criteria (length, patterns) were initially considered. The assistant corrected the numbers, revealing that July 2025 alone saw over 32,000 user messages, with over 30,000 directed to

The user is initiating a project to enhance a Work Opportunity Tax Credit (WOTC) application using the Context Engineering methodology. The process involves cloning a reference repository, understanding the existing application's structure and requirements through email transcripts and code exploration, and setting up the project with appropriate documentation and examples. The immediate focus is

The user wants to systematically extract information from an existing WOTC application to guide the development of an enhanced version using Context Engineering. The process involves cloning relevant repositories, exploring the existing codebase to understand its architecture, components, and logic, and setting up a Context Engineering framework. Key files like READMEs, package.json, and email tra

The user wants to set up a Context Engineering project for an enhanced WOTC data entry and processing application. The initial steps involved cloning relevant repositories ('context-engineering-intro' and 'HA_APP') to understand the existing WOTC application and the Context Engineering methodology. Key files like README.md, INITIAL.md, CLAUDE.md, and video transcripts were reviewed to grasp the pr

Mordechai is preparing for an interview as a GPT Prompt Engineer at Fullpath, an automotive customer data and experience platform (CDXP). The conversation has focused on understanding Fullpath's offerings, particularly their AI-powered solutions and integration of ChatGPT. Key areas explored include Fullpath's CDXP, audience activation, and the potential applications of ChatGPT in enhancing custom

The user wants to set up a Context Engineering project for an enhanced WOTC Data Entry and Processing Application. The process involves cloning a reference repository ('HA_APP.git') to analyze the existing application, creating necessary example directories, and writing key configuration files like INITIAL.md, CLAUDE.md, and WOTC_CONTEXT_ENGINEERING_SETUP.md to establish the project's context and

The user is initiating a project to build an enhanced WOTC Data Entry and Processing Application using the Context Engineering methodology. The process involved cloning relevant repositories ('context-engineering-intro' and 'HA_APP' as 'temp_repo_resource') to understand the framework and existing application. Key files like INITIAL.md, CLAUDE.md, and examples/README.md were set up or updated to d

Mordechai is setting up a Context Engineering project for an enhanced WOTC Data Entry and Processing Application. He has cloned two repositories: one for the Context Engineering template and another for an existing WOTC application ('HA_APP'). He is systematically reading key files like INITIAL.md, CLAUDE.md, and email transcripts to understand project requirements and the Context Engineering meth

The user wants to set up a Context Engineering methodology for a WOTC data entry and processing application. This involves cloning two repositories: 'HA_APP' for the existing WOTC application structure and 'context-engineering-intro' for the Context Engineering template. The initial phase focuses on research and understanding the existing codebase, email transcripts, and template files to define p

The user wants to set up a Context Engineering project for a WOTC enhancement application. The initial phase involved cloning reference repositories ('HA_APP' and 'context-engineering-intro') and exploring their contents, including READMEs, CLAUDE.md, and example files. Email transcripts were reviewed to understand project requirements related to data entry, email capturing, and form identificatio

The user wants to refine a prompt for transforming technical video transcripts into comprehensive, downloadable, reactive HTML guides. The prompt should be highly personalized for Mordechai Potash, emphasizing his platform-agnostic approach, specific tech stack, and interests (wearable AI, assistive tech, Torah learning). The output format needs to be a well-structured, high-density, quick-read HT

The user is initiating a project to enhance a WOTC (Work Opportunity Tax Credit) data entry and processing application. The initial phase involves setting up a Context Engineering framework. This includes cloning a reference repository to understand the existing application, reviewing video transcripts and emails to grasp project requirements, and preparing example file structures. The goal is to

The user wants to set up a Context Engineering project for an enhanced WOTC data entry and processing application. The initial steps involve cloning relevant repositories ('context-engineering-intro' for methodology and 'HA_APP' for existing WOTC code), exploring their structures, and setting up example directories. The focus is on research and setup rather than immediate building, aiming to under

The user wants to set up a Context Engineering project for an enhanced WOTC Data Entry and Processing Application. The initial steps involve cloning relevant repositories ('context-engineering-intro' and 'HA_APP') to understand the existing application and the Context Engineering methodology. The user also wants to review video transcripts and email files to gather project requirements and underst

Mordechai is searching for a modern, lightweight, and visual software for prompt chaining, distinct from agent-based systems. The ideal tool would allow users to define a start and end point, guiding them through a series of predefined prompts and choices to steer the AI's output. This structured approach is seen as a way to manage AI's inherent limitations in replicating human cognition. The sear

The user is refining a prompt to generate a compelling portfolio, cover letter, and CV based on a CSV file of chat history. The focus is on accuracy, truthful representation of skills and experience, and referencing the source chats. The current iteration specifically targets the creation of a portfolio, emphasizing a clear, text-based format and excluding specific visual elements or metrics that

The user wants a prompt for a voice assistant designed for hyperfocused data collection for an intake process. The AI should act as a virtual assistant, gathering specific information in a friendly and efficient manner. Crucially, it must not engage in any other conversation or provide further assistance once the data is collected, ending the session cleanly. The prompt needs to clearly define the

Mordechai is exploring the Context Engineering methodology and a specific WOTC (Work Opportunity Tax Credit) application. He has cloned repositories related to both to understand the existing codebase and the framework for AI-assisted development. The current focus is on researching and setting up the project according to the Context Engineering principles, rather than immediate building.

The user wants to set up a Context Engineering project for WOTC processing. The initial steps involve cloning relevant repositories ('HA_APP' for WOTC application and 'context-engineering-intro' for the template), and then thoroughly reviewing various files including video transcripts, emails, READMEs, and example files. This exploration aims to understand the WOTC application's architecture, the

Mordechai is refining a prompt for an AI document classifier. The goal is to ensure the AI can accurately identify and classify various form types, specifically adding a new classification option for a form type represented in an image that was not explicitly provided. The prompt needs to be robust enough to produce clean and homogenous output directly, without requiring a subsequent cleanup step.

The user wants to set up a Context Engineering project. The initial steps involved cloning the 'context-engineering-intro' repository and exploring its structure. Key files like README.md, CLAUDE.md, INITIAL.md, INITIAL_EXAMPLE.md, and PRP templates were reviewed to understand the methodology and project setup. Additionally, video and email transcripts were analyzed to gather context on Context En

The user wants a comprehensive prompt that guides an AI through a multi-step process to analyze their project experience against a job description. This process culminates in a scorecard detailing positive and negative alignments, with specific project evidence. The prompt needs to incorporate loading a CSV, identifying core requirements and technical skills, and then presenting the findings in a

The user wants to set up a project using the Context Engineering methodology. Initial steps involved cloning repositories ('HA_APP' and 'context-engineering-intro') to understand the existing codebase and the Context Engineering template. The assistant has also reviewed email transcripts ('april9.md', 'may18.md') and documentation files ('README.md', 'CLAUDE.md', 'INITIAL.md', 'INITIAL_EXAMPLE.md'

The user is refining a prompt for an AI document classifier. The goal is to accurately categorize JSON outputs from a document analysis system into specific form types, including a newly introduced 'NYC-FORMATED' type. Additionally, the AI should identify and label any images that appear to be ID documents.

The user is refining a set of AI formatting instructions for Notion, focusing on mobile display. Key updates include implementing pro-rata progress tracking for subsections (excluding a 'reference section'), bolding keywords and subtitles, and ensuring titles are bold, larger, centered, and include context-relevant emojis. The core principle of preserving original text integrity remains paramount.

The user is initiating a project focused on WOTC (Work Opportunity Tax Credit) processing, requiring a data entry and management application. The initial steps involve setting up a Context Engineering framework by cloning a reference repository ('context-engineering-intro'). The user has provided email transcripts detailing project requirements, including form management (8850, WOTC Questionnaire,

This conversation focuses on crafting a compelling bio and explanation for Mordechai as a 'superb prompt engineer'. The goal is to highlight his visionary approach, passion for technology and language, and ability to connect human understanding with machine intelligence. The output emphasizes his innovative spirit and the artistry of his work, aiming for a professional yet engaging portrayal.