2d • General discussion
AI Developer Accelerator Weekly Support Call - January 20
Key Takeaways
- Automated Training Creation: Patrick built a system that generates a full training course (NotebookLM, slides, video) from a single Claude Code project by auto-extracting patterns from the dev conversation.
- Advanced RAG Architecture: Scott implemented a 3-layer RAG system in NeuralSpark, using a Recursive Language Model (RLM) to have the LLM intelligently "hunt" for information, solving context rot and improving accuracy.
- Enterprise AI Consulting: A new business opportunity was identified: helping companies securely adopt agentic AI (e.g., Claude Code, Cowork) to bypass productivity-crippling internal IT policies.
- Agentic Workflow Updates: Brandon is releasing new Shipkit videos and commands (e.g., worktree, task review) to optimize agentic development, enabling parallel feature work.
Topics
The Future of Work: System Creators vs. Task Doers
- Morgan's Workflow: Automated a non-programmer's task (creating product sheets) from days to <10 minutes using skills in the Windsurf IDE. Process: Markdown → HTML (styled) → PDF + meta.json for product pages.
- Brandon's Cowork Example: Resolved a complex Excel matching problem (50 parts x 50 centers) in 5 minutes by pasting the problem description and file into Cowork.
- Consensus: The future workforce will be system creators and managers, not task doers. People must "level up" to think at a systems level, as AI will automate individual tasks.
Advanced Agentic Workflows & Tools
- Brandon's Mobile Workflow: Uses Claude's mobile app to kick off development while away from a computer. Process: Voice idea → "Create a new task using template.md" → Claude creates a new Git branch. On Desktop: Uses git worktree to check out and work on multiple branches in parallel. Result: This workflow enabled building 6 features in <2 days.
- Paul's Reporting App: Goal: Build an app to summarize large Postgres datasets. Solution: Use the Shipkit chat template and inject data dynamically. Advanced Option: Run parallel generateText calls for different data sources, then feed the summaries into a final streamText call.
- Voice Agent Recommendation: Bland was suggested as an easy, affordable no-code tool for building voice agents that can schedule meetings via Google Calendar.
Enterprise AI Adoption & Consulting
- Paul's CTO Agreement: Secured approval to use an agentic approach for all new, standalone projects.
- Enterprise IT Bottleneck: Many companies are limited to basic chat wrappers due to IT security fears, preventing employees from using powerful agentic tools.
- Business Opportunity: Offer consulting to help companies securely adopt agentic AI. Service: Build a secure, ring-fenced cloud environment (e.g., AWS, GCP) for internal AI tools. Value Prop: Address the real risk (80% of data leaks are internal staff) and provide a best-practice solution, enabling productivity.
Project Updates & Demos
- Scott's NeuralSpark (RAG System): Goal: Solve context rot in RAG systems with a 3-layer architecture. Layer 1 (Vector Search): Standard chunking and embeddings. Layer 2 (Re-ranking): Uses Cohere to score and re-rank the top 50 results. Layer 3 (RLM): The LLM intelligently "hunts" for information using tool calls, reversing the traditional RAG flow. This improves accuracy and scales better with large datasets.
- Patrick's Automated Training System: Goal: Automate training creation from development work. Process: A Claude Code skill extracts patterns from dev conversations (e.g., PRD analysis, feature decomposition). Output: A NotebookLM with the full dev history, a RAG chatbot, and auto-generated artifacts (slides, audio, graphics). Business Model: "Build Once, Sell Twice" by productizing the dev process itself.
- Ty's NGraph (DevOps Tool): Goal: A personal DevOps tool to manage knowledge across multiple projects. Features: Cross-Project Memory: Stores identity and preferences to avoid re-contextualizing. Flaw Tracking: Finds and reproduces Claude Code failure patterns from internal projects and external sources (Reddit, GitHub). Subscription Management: Scans Gmail/CC statements to track tool usage and identify unused subscriptions.
Shipkit & Community Updates
- Shipkit Updates: Brandon is releasing new Shipkit videos and commands to optimize agentic development. New Commands: worktree, task review. RAG Update: Code for the RAG pipeline update is included; the video is coming soon.
- Community Management: Paul and Patrick will take over managing the community during Brandon's absence.
Next Steps
- Brandon: Fix the Shipkit RAG pipeline. Record a video demo of the mobile-to-desktop workflow. Create a Shipkit affiliate code for Elijah's "Refining Education" community.
- Patrick: Test the Claude Code + Ollama integration for parallel research tasks. Finalize the automated training NotebookLM and create a marketing video.
- Scott: Demo the NeuralSpark RLM architecture in the next meeting.
- Ryan: Email Brandon to schedule a business strategy session.
- Juan: Email Brandon to request the previous Shipkit pricing.
Action Items
- Email Brandon re: Shipkit purchase at prior price - WATCH (5 secs)
- Prepare RLM on/off demo for next week's call - WATCH (5 secs)
- Forward school-group invite email to Scott - WATCH (5 secs)
- Add onboarding note to NotebookLM course - WATCH (5 secs)
- Implement radio/TV overlay in screen-app flow builder - WATCH (5 secs)
- Email Ryan: propose 2–3 monetization/growth paths for next week's brainstorm - WATCH (5 secs)
- Set up Shipkit affiliate discount code for Elijah's referrals - WATCH (5 secs)
- Post GitHub link to knowledge-graph tool in chat - WATCH (5 secs)
- Test Claude Code w/ Ollama (Quen 3 Coder); report back - WATCH (5 secs)
- Test OpenRouter OSS models for bulk summarization; post feedback in forum - WATCH (5 secs)
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AI Developer Accelerator Weekly Support Call - January 20
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