665 conversations

This repository, MordeHarvest 2026, is an orchestration headquarters designed to transform three years of AI-assisted work (350K messages, 185 projects, 96K insights) into tangible shipped products and packaged knowledge. It addresses the core problem of human control bottlenecks in AI utility, shifting from a reactive builder role to a proactive multi-agent orchestrator. The structure includes an

This repository is not a typical software project but rather a research archive documenting the 'Mordetropic paradigm,' a novel framework for human-AI collaboration developed over 2.5 years. It contains extensive documentation, including markdown files detailing the temporal evolution of concepts, strategic reports, and foundational moments like the 'Pashut moment' where human agency was preserved

This conversation explores the multifaceted applications of generative AI (GenAI) in business, covering content creation, customer support, IT operations, finance, and supply chain management. It highlights the potential for automation, personalization, and efficiency gains across various domains. Key considerations include ethical use, data privacy, bias detection, and the need for strategic impl

The user is focused on auditing and improving the Sparkii RAG system, specifically addressing database connection issues, data quality, and the implementation of YouTube Stella embeddings. The assistant has been actively investigating, identifying multiple database credentials, fixing connection errors, and confirming the existence of YouTube Stella embedding scripts that were never executed. The

Mordechai is solidifying the RAG system architecture and data strategy. Key decisions include prioritizing specific outreach targets (Hillel Fuld) and optimizing database connections (Pooler Port 6543). The team is confirming the current state of embeddings (99.8% complete) and planning for advanced RAG enhancements, including hybrid search and better normalization of conversation data. There's a

The user is seeking to identify individuals and groups who align with their 'bottleneck amplifier' theory. This involves searching for people who have expressed similar ideas, even if using different terminology, and understanding how their work relates to the core concept of bottlenecks amplifying effects in human-AI interaction. The goal is to find intellectual allies and potential collaborators

The MordeLens and vector systems are being resurrected and enhanced with auto-triggering capabilities. Significant progress has been made in configuring the OpenAI embedding system, including securely storing the API key, deploying an Edge Function, and fixing various integration issues. The backfill of conversations into the MordeLens system is underway, with a focus on using real OpenAI embeddin

Mordechai requested a creative visualization of AI (GPT-4) abilities compared to human average and professor-level abilities. The AI generated a hypothetical dataset and described various visualization methods including tables, bar charts, radar charts, scatter plots, and conceptual infographics. The visualizations were designed to be creatively interpreted, using metaphors like constellations, au

The user is working on integrating the Claude 4 AI system into a Next.js application for form processing. Significant progress has been made in setting up the Supabase database schema, connecting to production data, and deploying API routes and UI components. However, persistent permission errors ('permission denied for table c4_business_actions', 'permission denied for view vw_c4_priority_queue')

The user wants to build a 'Dream Team' of AI assistants to rapidly and effectively help people solve their problems. This team will be structured with specialized roles, including an Intake Assistant for initial scoping, a Problem Analysis Assistant for deep dives, a Solution Generation Assistant for brainstorming, an Implementation Strategy Assistant for planning, a Communication Assistant for co

The user is refining the AI Chat Analyzer, focusing on improving its handling of large ChatGPT files and enhancing its analytical capabilities. Key issues addressed include JSON parsing errors, heatmap rendering problems, and the need to sample recent conversations from large files. Decisions were made to implement smarter sampling, robust JSON repair, and a more granular categorization system. Th

Mordechai is attempting to set up the WLED project for temperature monitoring, similar to the Temp Stick. He encountered permission errors when trying to access linker scripts and is now installing a compatible Python version (3.12) using Homebrew. The overall goal is to replicate the Temp Stick's interface and functionality, potentially by merging components from similar projects.

The conversation shifted from data preprocessing and initial analysis to a detailed comparative report of seven language models. The focus is now on generating and describing visualizations that highlight each model's performance across various metrics like skills, experience, strengths, and improvements. The ultimate goal is to select the best model for processing a larger dataset of over 300 row

The user encountered persistent errors with an ML model for text classification, specifically related to class imbalance and label encoding after applying SMOTE and Tomek Links. The model was heavily biased towards 'technical' categories. The conversation evolved from basic CSV extraction to implementing and debugging a more complex XGBoost model with advanced balancing techniques. The core issue

Mordechai is focused on setting up a robust local embedding system for his chat histories and YouTube transcripts using his M4 Mac. The process involves several iterations of script development and debugging to handle JSON data structures, authentication issues, and optimize processing speed. Key challenges included correctly extracting content from nested JSON arrays in chat messages and ensuring

The user requested to find and download recent, long-form interviews of Dario Amodei, specifically those in a 'Lex Fridman style'. The AI identified several key interviews, including the Lex Fridman Podcast #452, 60 Minutes, and others. It then provided `yt-dlp` commands to download these as MP3s to the user's Mac, while also noting potential copyright concerns. The AI is currently monitoring the

Mordechai successfully configured Clawdbot to use the Antigravity proxy, enabling free access to Claude Opus 4.5 and Gemini models. Initial attempts were hampered by Anthropic's blocking of Max tokens for third-party tools and subsequent rate-limiting on the Antigravity proxy. By adding multiple Google accounts and employing a round-robin strategy, Opus 4.5 access was stabilized. The conversation

Mordechai is refining the conversational flow for an automotive dealership chatbot. The focus is on creating a longer, more organic, friendly, and professional dialogue that guides the user towards booking a test drive or providing contact information. Each AI statement now concludes with a clear call to action, and the conversation is designed to elicit more than just one-word responses from the

Mordechai is clarifying the usage limits and costs associated with OpenAI's GPT models, specifically o3 and o4-mini, within the context of his ChatGPT Plus subscription. He is trying to understand how 'chats' are counted towards his weekly allowance and the token limits for individual messages and entire conversations. The discussion also touches upon the cost implications of using different model

Mordechai provided a new OpenRouter API key. After updating the .env file, it was discovered that Python was caching the environment variables. Explicitly loading the .env file resolved this, confirming the new key and the 'google/gemini-2.5-flash-lite' model are working. The decision was made to regenerate Siman 426 with the updated configuration to ensure accurate translations.

Mordechai is exploring AI-powered chatbot solutions for a parent assessment app. The goal is to replace traditional forms with a guided, conversational interface that uses LLMs to collect detailed information. He has evaluated various platforms, including Microsoft Power Apps, Alan AI, Rasa, Google Cloud Vertex AI, and specific niche tools like Landbot and SurveySparrow, looking for rapid build ca

The revenue model is designed as a performance-based fee structure, sharing a percentage of the donations directly attributed to the service provider's interventions. This model aims to reduce risk for both parties by tying revenue to demonstrable success, specifically focusing on the increase in donations beyond historical baselines. The proposed 80/20 split ensures the non-profit retains the maj

Mordechai is exploring the concept of an API that modifies content to an individual's unique learning and interaction style, aiming for efficient personal digestion and a generalized output. The initial search focused on GitHub for related projects, then expanded to academic research papers published in 2023. While direct implementations were not fully accessible, the search indicated active resea

The user wants to categorize 20,000 occupational tasks by their automation potential using AI. We began by setting up a Python environment, creating a sample dataset, and using TF-IDF for feature extraction. A Random Forest classifier was trained, but initial results were poor due to a small dataset and random labels. Subsequent steps focused on feature engineering with mock word embeddings, addre

The user is asking for an explanation of the data findings, likely related to the recent model evaluation results and the processed data containing lapse scores. The assistant has loaded the data with lapse scores and is preparing to display an overview. The goal is to articulate the insights derived from the data and the model's performance.

The user is requesting an abstract oil painting of the seven species of Israel. The AI has generated a prompt that captures the essence of this request, focusing on expressive brushstrokes, vibrant colors, and abstract representations of wheat, barley, grapes, figs, pomegranates, olives, and dates, all within a warm, earthy tone. The goal is to create a visually rich and symbolically significant p

Mordechai explored and implemented several Text-to-Speech (TTS) solutions on his Mac, starting with Piper, then moving to the higher-quality Kokoro, and finally integrating Gemini TTS and Live API. The process involved troubleshooting Automator Quick Actions, Shortcuts.app, and shell scripts, including handling special characters and permissions. The final setup includes a Gemini PWA for voice cha

The user has historic data in a CSV file and PDF attachments in a local folder. The immediate goal is to prepare this data for the Anthropic Console's Evaluation tool. This tool requires data to be formatted into two specific columns: `PDF_EXTRACTED_DATA` and `HISTORIC_DATA`. The next steps involve processing the PDF attachments, comparing their extracted data with the historic CSV data, and then

The user is seeking a deep dive into the technical logic of Brad Smith's Brain-Computer Interface (BCI) for communication. This involves understanding how his imagined movements translate into selecting macro-level options (tone, type) horizontally and micro-level options (specific styles) vertically. The goal is to reconstruct this interface's functionality, inferring the underlying BCI and UI de

Mordechai is developing the SHELET Protocol, a human-AI sovereignty framework. The protocol is designed as a 'perfect human-AI limiter/amplifier' and is being formalized into a machine-readable knowledge file and an academic research paper. The paper will focus on the Sparkii 4-phase system, citing only David Shapiro and Mordechai's own work. The development involves deep dives into his personal f