pieces

Website: https://nvsp-rebutld.vercel.app/solar-tnstaller-near/chtco-ca/

Website: https://nvsp-rebutld.vercel.app/areas-served/yuba-ctty-ca/

Website: https://nvsp-rebutld.vercel.app/areas-served/sacramento-ca/

[Web Browser Content] ChatGPT New chat Search chats Codex GPTs Ask Gemini Sidebar Tools: - Local Link Hunter - Local Brand Weekly Reporter - VEO 3 AI Persona - Business Schema Generator - Semantic Triples Generator - SEO Advisor (By AAH Sheet) - BigSean Prompter - Full SEO Article & Multi - SnippetBrain by seonotebook - Outrank Article - Link Magnet Generator - SEO Auditor Pro User: Michael Merlino Prompt: I'll use the site's messaging and branding cues to create a polished promotional graphic grounded in the page content. I'm refining this into a status. Follow up.

[SUGGESTED_QUERY] AI-driven business schema and article generation

[SUGGESTED_QUERY] Michael Merlino SEO marketing tools

[SUGGESTED_QUERY] ChatGPT SEO content generation workflow

Tag: ai-content-generation Source: CLOUD_LLM

[Command-Line Output] langgraph new path/to/your/app langgraph dev pip install -U "langgraph-cli[inmem]" pip install -e . [honcho] user-prompt injected conclusions (cached) UserPromptSubmtt says: --template new-langgraph-project-python Goal: Wiring LangSmith into your memory ecosystem. Tracks: agent-memory tracing, fleet hook, eval hub. [honcho] response -4 saved response 1. Pilot inside merlino-audit-engine/ — replace hand-rolled orchestration with create_deep_agent(). 2. Wire into the eval hub as the agent-under-test for nightly skill/SOP evals. 3. Skip. [honcho] post-tool-use -4 captured: C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: Wrote 2 memories. C:\Users\mtkem\.claude\projects\reference_langsmtth-tenant-td-required.md: Edited.

[SUGGESTED_QUERY] LangGraph agent memory tracing

[SUGGESTED_QUERY] Claude Dev memory integration

[SUGGESTED_QUERY] LangGraph project setup and memory management

[Web Browser Content] crewAIInc/crewAI: Framework for orchestrating role-playing, autonomous AI agents. README Virtual Env uv venv uv sync Contributing MIT license Security Pre-commit hooks pre-commit install Running Tests uv run pytest Running static type checks uvx mypy src Packaging uv build Installing Locally uv pip install dist/*.tar.gz

[SUGGESTED_QUERY] using uv for python project management

[SUGGESTED_QUERY] how to run tests and type checks in CrewAI

[SUGGESTED_QUERY] CrewAI framework setup and installation guide

[Command-Line Output] Reloaded: 15 plugins 12 skills • 46 agents 18 hooks 1 error during load. Run /doctor for details. 5 plugin MCP Recap: You just installed the Vercel plugin from claude-plugins-official. 1 plugin LSP server Next action: run /reload-plugins to activate it. (disable recaps in /config) [honcho] user-prompt UserPromptSubmtt says: • skipped (trivial prompt) Plugin installed. Run /reload-plugins to activate it. [honcho] response -4 saved response (55 chars) Stop says: * Cooked for 4s Run /reload-plugins Installed vercel. Claude Code v2.1.141 Opus 4.7 (1M context) D:\ClaudeDev bash: /plugin: No such file or directory

[SUGGESTED_QUERY] Claude Code Vercel plugin setup

[SUGGESTED_QUERY] troubleshoot Claude Code plugin error

[Command-Line Output] Memz C:\Users\mtkem\.claude\proj reference_langsmtth-tenant- td- required . md Saving the LangSmtth gotcha to memory now. Wrote 2 memories (ctrl+0 to expand) [honcho] post-tool-use -4 captured: Wrote [honcho] post-tool-use -4 captured: Edited C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: LangSmtth fully wired + tenant-ID gotcha documented in memory. Deepagents. Three real paths: 1. Pilot inside merlino-audit-engine/ — replace hand-rolled orchestration with create_deep_agent( ), run on cron, auto-trace to LangSmtth 2. Wire into the eval hub as the agent-under-test for nightly skill/SOP evals 3. Skip — leave it as a known option, stay on Claude Code + raw Anthropic SDK [honcho] response -4 saved response Recap: Goal was wiring LangSmith into your memory ecosystem; all three tracks (agent-memory tracing, fleet hook, eval hub) are live and verified. Next action: pick a deepagents path. [honcho] user-prompt injected conclusions API Error: 529 Overloaded. This is a server-side issue, usually temporary — try again in a moment. If it persists, check status.claude.com.

[SUGGESTED_QUERY] ClaudeDev memory management and agent orchestration

[SUGGESTED_QUERY] LangGraph project setup and deep agent implementation

[SUGGESTED_QUERY] LangSmith integration and memory documentation

[Command-Line Output] [honcho] post-tool-use -4 captured: Rule: NO EM DASHES Never use em dashes (—, U+2014) in any content Mike sees or that ships to his projects. This applies to ALL agents, ALL deliverables, ALL contexts. RULE. No exceptions. ## Forbidden characters File updated: C:\Users\mtkem\.claude\CLAUDE.md File created: C:\Users\mtkem\.claude\rules\no-em-dashes.md ### Proxy Everything Use proxies for scraping, crawling, repeated polling, bulk fetches, large-scale automation against third-party sites, YouTube/video fetching, and standard development use.

[SUGGESTED_QUERY] enforcing coding standards for AI agents

[SUGGESTED_QUERY] Claude project rules mtkem

[SUGGESTED_QUERY] AI agent rule configuration no em dashes

Tag: rule-enforcement Source: CLOUD_LLM

Tag: text-formatting Source: CLOUD_LLM

[Command-Line Output] [honcho] UserPromptSubmtt says: API Error: 529 Overloaded. This is a server-side issue, usually temporary — try again in a moment. If it persists, check status.claude.com. Recap: Built and deployed the CrewAI SOP site (249 pages, RAG chat live at https://crewai-sop.vercel.app) and asked whether to merlino-sops MCP or build narrow skills. Next: your call on MCP vs skills. Concrete next steps: 1. Add CrewAI corpus to merlino-sops MCP (chunked from the 249 .md files already on disk + the vector store you just made). 2. Defer skill creation until you've used the MCP for NIO queries and notice repeat patterns. 3. Then /t2s a focused skill on those patterns — using your actual usage as the source, not the docs. [honcho] Stop says: Want me to wire CrewAI into merlino-sops now? Or run /t2s against a specific CrewAI page (e.g. the agentic-workflow patterns page)? Your established pattern is ONE unified MCP with category filters — merlino-sops already replaces per-domain MCPs. CrewAI fits as another category: crewai inside it. Same pattern as the 13 SOPs you already consolidated. If you find yourself repeatedly asking 'how should I structure this agentic flow?', that's the trigger to write a skill. The skill teaches judgment (when to use Flow vs raw Crew, when to use Skills vs Tools vs Knowledge). The MCP delivers facts (Flow API signature, agent attributes, deployment env vars).

[SUGGESTED_QUERY] Claude API 529 error status

[SUGGESTED_QUERY] agentic workflow patterns vs skills

[SUGGESTED_QUERY] CrewAI SOP integration merlino-sops MCP

[Command-Line Output] Memz Direct replacement for the orchestration glue you're hand-rolling there. 2. SOP factory eval loop — wire deepagents into D:/Ecosystem/langsmtth-evals/ as the eval target (the thing being measured), against your skill/SOP datasets nightly. Closes the Loop-driven Optimizer pattern. 3. Pure curiosity / pilot: skip both, just spike a 30-line create_deep_agent() in a sandbox to feel what the abstraction is. The tradeoff: it adds LangGraph + LangChain to a stack that's currently Claude-Code + raw Anthropic SDK. LangSmith tracing is already wired, so the marginal cost of one project trying it is low. Saving the LangSmith gotcha to memory now. [honcho] post-tool-use -4 captured: - Wrote C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\reference_langsmtth-tenant-td-requtred.md (36 lines) - Edited C:\Users\mtkem\.claude\projects\D--ClaudeDev\memory\MEMORY.md: added: LangSmith, Tenant, Required LangSmith fully wired + tenant-ID gotcha documented in memory. Deepagents. Three real paths: 1. Pilot inside merlino-audit-engine/ — replace hand-rolled orchestration with create_deep_agent(), run on cron, auto-trace to LangSmith. 2. Wire into the eval hub as the agent-under-test for nightly skill/SOP evals (closes the Loop-driven Optimizer loop). 3. Skip — leave it as a known option, stay on Claude Code + raw Anthropic SDK. [honcho] response -4 saved response * Crunched for 17m 23s * Recap: Goal was wiring LangSmith into your memory ecosystem; all three tracks (agent-memory tracing, fleet hook, eval hub) are live and verified. Next action: pick a deepagents path — audit-engine pilot, eval-hub target, or skip. [honcho] user-prompt injected conclusions * API Error: 529 Overloaded. This is a server-side issue, usually temporary — try again in a moment. If it persists, check status.claude.com.

[SUGGESTED_QUERY] LangGraph project setup and evaluation loop

[SUGGESTED_QUERY] ClaudeDev memory configuration and project documentation

[SUGGESTED_QUERY] LangSmith integration and deepagents implementation paths

[SUGGESTED_QUERY] langgraph dev environment configuration

[SUGGESTED_QUERY] langgraph project setup commands

[SUGGESTED_QUERY] how to install and run langgraph cli

[Command-Line Output] [honcho] user-prompt injected conclusions UserPromptSubmtt says: API Error: 529 Overloaded. This is a server-side issue, usually temporary — try again in a moment. If it persists, check status.claude.com. Your established pattern is ONE unified MCP with category filters ([feedback_one-mcp-not-fourteen]) — merlino-sops already replaces per-domain MCPs. CrewAI fits as another category: crewai inside it. Same pattern as the 13 SOPs you already consolidated. Then — if you find yourself repeatedly asking "how should I structure this agentic flow?" that's the trigger to write a skill. The skill teaches judgment (when to use Flow vs raw Crew, when to use Skills vs Tools vs Knowledge). The MCP delivers facts (Flow API signature, agent attributes, deployment env vars). Concrete next steps if you agree: 1. Add CrewAI corpus to merlino-sops MCP (chunked from the 249 .md files already on disk + the vector store you just made) 2. Defer skill creation until you've used the MCP for NIO queries and notice repeat patterns 3. Then /t2s a focused skill on those patterns — using your actual usage as the source, not the docs Want me to wire CrewAI into merlino-sops now? Or run /t2s against a specific CrewAI page (e.g. the agentic-workflow patterns page) if you've already decided you want a skill? [honcho] response -4 saved response (1916 chars) Stop says: * Worked for 32s * Recap: Built and deployed the CrewAI SOP site (249 pages, RAG chat live at https://crewai-sop.vercel.app) and asked whether to ingest the corpus into the unified merlino-sops MCP or build narrow skills. Next: your call on MCP vs skills.

[SUGGESTED_QUERY] CrewAI SOP site deployment status

[SUGGESTED_QUERY] agentic workflow skill vs MCP

❯ 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 pip install -U "langgraph-cli[inmem]" langgraph new path/to/your/app --template new-langgraph-project-python cd path/to/your/app pip install -e . LANGSMITH_[REDACTED:Generic API Key] langgraph dev

[SUGGESTED_QUERY] merlino-sops development updates

[SUGGESTED_QUERY] CrewAI project integration tasks

[SUGGESTED_QUERY] integrate CrewAI into merlino-sops

[Command-Line Output] Ranking Reels Chrome extension dropped on my end. Two hits to tabs_context_mcp both returned 'Browser extension is not connected.' Need you to either: 1. Reload the Chrome extension (or restart Chrome) — then say 'back' and I'll resume building the funnel pages, workflow, pipeline, emails, and calendar availability via Chrome. 2. OR drop me your GHL session JWT (browser DevTools -> Application -> Cookies -> app.gohtghlevel.com -> grab the auth token) — Gino can hit the GHL private API directly to create funnels/workflows without needing the UI. Tasks queued and tracked: 1. Build 3 funnel pages 2. Build workflow + pipeline 3. Create 4 email templates 4. Set calendar availability 5. Stripe products (blocked on Stripe API key) 6. Upload assets (logo, videos, testimonials, stats, policy pages) 7. End-to-end test Recap: Goal is to clone the VSL Queen funnel into Ranking Reels GHL. Calendar, tags, custom values, and custom fields are live; funnel pages, workflow, and emails still need building. Next action: reload the Chrome extension or send your GHL session JWT.

[SUGGESTED_QUERY] Stripe API key integration for GHL funnels

[SUGGESTED_QUERY] Gino automation agent GHL session JWT