Timeline

[Web Browser Content] Site Building SOP Knowledge Base ShadCN + Tailwind production design — 19 topics. Agent API at /api/topics Search topics: - accumulated - animation - guideline - hero - image - blocks - landing - brand - builder - clone - collector - design - learnings - loop - optimizer - plus - page - frankie's - review - from - router - frontend - section - generator - shadcn - site-building - tailwind - visual writer brand-collector: Extract all publicly available brand information from a URL and organize it into structured markdown tables with source attribution. brand-guideline-generator: Create a comprehensive brand guideline document from provided business information. Frankie's Accumulated Learnings: These are production patterns learned through real agency builds.

[Web Browser Content] Bookmarks and Navigation Links: - Hermes Agent - Call Tracking - Ads Manager - Merlino Marketing - Developers - CTR Geeks - Domain Portfolio - Google Drive - Applicant Tracking System - Ask Gemini - Manus Resources - Mission Control - OpenClaw Mission - 2025

[Web Browser Content] Project: site-sop Overview Deployments Logs Analytics Speed Insights Observability Firewall CDN Environment Variables Production Deployment To update your Production Deployment, push to the master branch. Deployment: site-6cdxvabbl-mmerlin023s-projects.vercel.app Domains: site-sop-gamma.vercel.app Status: Ready Source: master Created: 3m ago by mmerlin023 Commit: 2e02e02 fix: swap OpenAl SDK for raw fetch in search route Production Checklist: 1/6 Observability: Edge Requests 55, Function Invocations 2, Error Rate 0% Active Branches: vercel.com/mmerlin023s-projects/site-sop

[Web Browser Content] Social Post System: Platform-Native Content Facebook Posts Critical Rules: - No hook line as the opening: Do NOT start with a clickbait question or contrived opener. - Short paragraphs: 1-3 sentences max per paragraph. - No em dashes (—): Use commas or periods instead. - Emojis inline with text, not as bullets. - End with a CTA that feels natural, not forced. LinkedIn Posts Voice: Friendly business owner talking to a neighbor. Not a marketer talking at an audience. Critical Rules: - No hook line as the opening: Do NOT start with a clickbait question or contrived opener. - Short paragraphs: 1-3 sentences max per paragraph. - No em dashes (—): Use commas or periods instead. - Emojis inline with text, not as bullets. - End with a CTA that feels natural, not forced. BMM Distribution Rules - When using BMM (Brand Media Manager) API for scheduling, always review platform-specific copy before posting. - Schedule platform-native versions, not reposts of the same text. Content Syndication Machine One piece of flagship content generates 10 platform outputs including blog posts, GMB posts, video scripts, social posts, and FAQ schema.

[Web Browser Content] Content SOP Knowledge Base BMM + voice + content flywheel — 15 topics. Agent API at /api/topics Available Topics: ai-detection, copywriting, humanizing, alignment, articles, audit, authority, brand, content-creation, conversion, content-ops, content-strategy, editing, ideation, eeat, email, facebook, linkedin, sequences, faq, featured-snippets, flywheel, google-standards, headlines, press-release, quality, research, rewriting, landing-pages, schema, seo, local-seo, social, nurture, structure, paa, tone, planning, posting, pr, topic-clusters, twitter, voice, writing-quality. Key Systems: - AI Stop Words, Banned Phrases & Natural Transitions: List of banned phrases and transition alternatives. - Article Pipeline: 4-Step Research-First Workflow: SERP analysis, social research, planning, and section-by-section writing. - Content Alignment Audit: 7-step process to cross-reference scheduled content and flag misalignment. - TonePrint: Voice Analysis & Rewriting System: Two-mode system to analyze and apply TonePrints. - Social Post System: Platform-specific rules for Facebook, LinkedIn, and X/Twitter. - Landing Page Section Structure & Templates: Library of core sections and page templates. - PAA Content System: Pipeline for People-Also-Ask research to blog post conversion. - Press Release Writing System: Structure, format, and distribution strategy for local SEO.

[Web Browser Content] Video Production SOP Knowledge Base Methodology: DEY video pipeline (11 topics). AI Framework: Chad Michael Framework (Script-first, AI production). Custom Avatar API: BYOA (Bring Your Own Avatar) training. Deployment Settings: - Production Deployment: Push to master branch. - Repository: video-sop - Status: Ready (1m ago by mmerlin023) - Source: master (fix: swap OpenAI SDK for raw fetch in search route) Observability: - Edge Requests: 33 - Function Invocations: 0 - Error Rate: 0% Analytics & Insights: - Web Analytics, Speed Insights, and Custom Domain options available.

[Web Browser Content] PAA Content System: Research to Blog Post Complete PAA-to-content pipeline: prioritization matrix, question clustering strategy, blog post structure optimized for featured snippets, and multi-channel distribution. Agent trigger phrases: paa content, people also ask, featured snippet content, write content from paa, paa blog post, question-based content. "PAAs are Google literally telling you what to write about. It's like having the test answers before the exam. Use them!" — Michael Merlino PAA Prioritization Matrix Score each question based on Search volume, Competition KD, Commercial intent, and Local relevance. Target score 8+ first. Question Clustering Don't write separate posts for related PAAs — cluster them into one comprehensive piece. Example: Main PAA "How much does roof repair cost?" clustered with supporting PAAs like "What factors affect roof repair cost?" and "Is it worth repairing an old roof?" to outrank thin posts. PAA Blog Post Structure H1: [Main PAA Question as Title] Introduction: 150-200 words Response Formulas by Question Type: - Worth/Value Questions: [Product] lasts X-Y years, requires [benefit], and offers [benefit]. - Cost Questions: The average cost of [product] in [location] ranges from $X to $Y. - VS/Difference Questions: The main difference between [X] and [Y] is [primary distinction]. - Disadvantage Questions: The main disadvantage of [product] is [specific problem]. AI Stop Words — Banned from Snippets: Moreover, Furthermore, Thus, Hence, Based on, According to research, In conclusion, It's important to note, Additionally, Nevertheless, Therefore, Consequently, As a result, In fact, Indeed, Notably.

[Web Browser Content] Content SOP — Knowledge Base Search SOPs 1 result PAA Content System: Research to Blog Post Complete PAA-to-content pipeline: prioritization matrix, question clustering strategy, blog post structure optimized for featured snippets, and multi-channel distribution. Tags: featured-snippets, content-strategy, paa, seo

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[Web Browser Content] Content SOP — Knowledge Base Content Alignment Audit: Cross-Platform Coherence Check 7-step audit process to cross-reference all scheduled content for a period and flag misalignment before it goes live. Includes alignment scoring, approval gate, and rewrite protocol. Tags: alignment, audit, planning, content-ops Content Flywheel: Feedback to Fresh Ideas Three-command content flywheel system that converts customer feedback into non-repeating content ideas using persistent tracking: /analyze (themes), /flywheel (generate ideas), /track (manage history). Article Pipeline: 4-Step Research-First Workflow Four-step article creation pipeline that mandates research before writing: SERP analysis, social research (Reddit/YouTube), article planning, and section-by-section writing. Prevents generic AI-trap content. Tags: articles, seo, research, content-creation AI Stop Words, Banned Phrases & Natural Transitions Complete list of AI stop words and banned phrases to avoid in all content, paired with natural transition alternatives organized by function: previewing, contrast, cause/effect, summarizing. Tags: writing-quality, ai-detection, voice, editing

[Web Browser Content] Article Pipeline: 4-Step Research-First Workflow — Content SOP STEP 1: SERP Analysis (MANDATORY) Before writing, analyze top 5-10 results for format, word count, H2/H3 structure, and content gaps. Identify featured snippet formats and competitor E-E-A-T signals. STEP 2: Social Research (MANDATORY) Mine Reddit and YouTube for real user language, complaints, and unmet needs. Extract recurring questions and specific phrases to incorporate into the article. STEP 3: Article Planning Create a section-by-section strategy. Map unique insights from social research and SERP gaps to specific H2s, content types, and meta elements. STEP 4: Section-by-Section Writing Write one section at a time. Apply the E-E-A-T checklist: intent alignment, direct answers, data precision, citation density, experience markers, expertise signals, authority anchors, and trust elements. Article Pipeline Overview: - Prevents generic AI content by mandating research before drafting. - Focuses on competitor gap analysis and customer voice. - Includes title formulas and meta description best practices.

[Web Browser Content] Bookmarks and Quick Links: - content-sop.vercel.app - Ads Manager - Merlino Marketing - Call Tracking - CTR Geeks - Google Drive - Applicant Tracking System - Ask Gemini - Manus Resources Hub - Hermes Agent - Mission Control - OpenClaw Mission Control

[Web Browser Content] Content SOP — Knowledge Base Topics: - AI Stop Words, Banned Phrases & Natural Transitions: Complete list of AI stop words and banned phrases to avoid in all content, paired with natural transition alternatives organized by function: previewing, contrast, cause/effect, summarizing. - Article Pipeline: 4-Step Research-First Workflow: Four-step article creation pipeline that mandates research before writing: SERP analysis, social research (Reddit/YouTube), article planning, and section-by-section writing. Prevents generic AI-trap content. - Content Alignment Audit: Cross-Platform Coherence Check: 7-step audit process to cross-reference all scheduled content for a period and flag misalignment before it goes live. Includes alignment scoring, approval gate, and rewrite protocol. - Content Flywheel: Feedback to Fresh Ideas: Three-command content flywheel system that converts customer feedback into non-repeating content ideas using persistent tracking: [analyze (themes), /flywheel (generate ideas), [track (manage history).

[Web Browser Content] Content SOP Knowledge Base BMM + voice content flywheel — 15 topics. Agent API at content-sop.vercel.app 32m ago by mmerlin023 AI Stop Words, Phrases & Natural Transitions Article - Step Rewatch — First that mandates writing: SERP planning and prevents generic AI-trap content. Replace OpenAI SDK embed call with raw fetch, lower match threshold.

[Web Browser Content] Video Production SOP Knowledge Base Video Production SOP Knowledge Base DFY video pipeline methodology — 11 topics. Agent API at /api/topics Search topics Topics: chad-michael, cli, client-setup, agency, creatify, pricing, agent, dfy, ai-citation, fish-audio, ai-video, api, hook-formulas, audio, kling, avatar, local-seo, production, video-pipeline, API JSON, agent-video, dyoa, ffmpeg, runway, video-processing, script-first, byoa, long-form, video-ad, magnific, video-factory, script, video-seo, scriptwriter, soundcloud, workflow, youtube AI Video Pipeline — Chad Michael Framework End-to-end AI video ad production framework: script-first methodology, 5 appeal angles, Creatify vs Kling routing, multi-location scaling, and quality checklist. Tags: ai-video, chad-michael, script-first, local-seo Creatify Custom Avatar API (BYOA + DYOA) Two methods to create custom Creatify avatars: BYOA (upload consent + training videos of real person) and DYOA (text-described AI-generated avatar). Tags: creatify, avatar, byoa, dyoa, runnable Creatify Production Pipeline 5-phase Creatify production workflow for local service businesses: client setup, image hosting, script generation, video rendering, and branding delivery. Tags: creatify, production, workflow, client-setup

Screen: 11m O Ani Vidr A Vid x cor A site me A link A locc acq wp A tele sec A dev A che ver ses CLi Pretty-print [ {"slug" : "ai-video-pipeline" , "title" : "AI Video Pipeline Chad Michael Framework", "chad-michael", "script-first", "local-seo"], "agent _ summary": "End-to-end AI video ad production framework: script-first methodology, 5 appeal angles, Creatify vs Kling routing, multi-location scaling, and quality checklist. "trigger _ phrases": ["ai video pipeline", "chad michael framework", "video ad production", "script first video", "5 appeal angles video", "multi-location video", "creatify vs k ling" , "video production checklist"], "runnable" : true}, {"slug" : "creatify-custom-avatar" , "title" : "Creatify Custom Avatar API (BYOA + DYOA)" , "tags" : ["creatify" , "avatar" , "byoa" , "dyoa"

[Web Browser Content] Creatify Custom Avatar API (BYOA + DYOA) Two methods to create custom Creatify avatars: BYOA (upload consent + training videos of real person) and DYOA (text-described AI-generated avatar). Creatify Production Pipeline 5-phase Creatify production workflow for local service businesses: client setup, image hosting, script generation, video rendering, and branding delivery. Creatify Video Pipeline Complete Creatify API pipeline: 15 script templates, 8 visual styles, credit system, batch generation, and authentication for DFY video production. AI Video Pipeline — Chad Michael Framework End-to-end AI video ad production framework: script-first methodology, 5 appeal angles, Creatify vs Kling routing, multi-location scaling, and quality checklist. Video Production SOP Knowledge Base DFY video pipeline methodology — 11 topics. Agent API at /api/topics

Screen: Agent trigger phrases: ai video pipeline • chad michael framework • video ad production • script first video • 5 appeal angles video • multi-location video • creatify vs kling • video production checklist AI Video Pipeline — Chad Michael Framework End-to-end Al video ad production for local service businesses. Script to upload in under 5 minutes at N$5/video. Based on the Chad Michael Framework from SEO Rockstars 2026. Replaces: ai-video-ad-script, ai-video-image-prompts, ai-video-storyboard, ai-video-production-sop, ai-video- appeals. Required Inputs Service/Product I Decorative concrete patios I Yes I I Target City I Sarasota, FL I Yes I I Target Audience I Homeowners 35-65 wanting outdoor upgrades I Yes I I Key Benefits 1 25-year warranty, custom designs, same-week install I Yes I I USP

[Web Browser Content] Video Production SOP Knowledge Base DFY video pipeline methodology — 11 topics. Agent API at /api/topics Search topics: agency, creatify, pricing, agent, dfy, ai-citation, fish-audio, ai-video, api, hook-formulas, audio, kling, byoa, avatar, chad-michael, cli, client-setup, local-seo, production, video-pipeline, API JSON, agent-video, dyoa, ffmpeg, runway, video-processing, script-first, long-form, video-ad, magnific, video-factory, script, video-seo, scriptwriter, soundcloud, workflow, youtube. AI Video Pipeline — Chad Michael Framework End-to-end AI video ad production framework: script-first methodology, 5 appeal angles, Creatify vs Kling routing, multi-location scaling, and quality checklist. Creatify Custom Avatar API (BYOA + DYOA) Two methods to create custom Creatify avatars: BYOA (upload consent + training videos of real person) and DYOA (text-described AI-generated avatar). Creatify Production Pipeline 5-phase Creatify production workflow for local service businesses: client setup, image hosting, script generation, video rendering, and branding delivery.

[Web Browser Content] Project: video-sop Production Deployment Status: Ready Source: master branch Last commit: 0352914 fix: swap OpenAl SDK for raw fetch in search route Created: 1m ago by mmerlin023 Deployment URL: video-5di4bdOxz-mmerlin023s-projects.vercel.app Domain: video-sop-tau.vercel.app Production Checklist: 1/6 Observability: Edge Requests 33, Function Invocations 0, Error Rate 0%

[Web Browser Content] Both engines share the same UI: open Settings > Local Models to configure each. Engine 1 — sd.cpp (bundled) - Runs on the same machine as the app. Metal GPU on Apple Silicon, CUDA/Vulkan/ROCm on Linux/Windows. Engine 2 — HTTP client to a user-run server. - The server runs Python + PyTorch on a CUDA/ROCm GPU; the desktop app only sends prompts and receives results. Model Comparison: - Z-Image Turbo: Diffusion, 1.5 GB, 8-step turbo, heavy on memory. - Z-Image Base: Transformer, 2.1 GB, 50-step high-quality, heavy on memory. - Dreamshaper 8: Diffusion, 2.1 GB, 20-step versatile, lightest tested option on Mac. - Realistic Vision v5.1: Transformer, 2.1 GB, 25-step photorealistic. - Anything v5: SDXL, 6.9 GB, 20-step anime/illustration. - SDXL Base 1.0: SDXL, 30-step high-res. Z-Image models require two shared auxiliary files: Qwen3-4B Text Encoder (2.4 GB) and FLUX VAE (335 MB). How to use: 1. Open Settings > Local Models in the desktop app. 2. Install the sd.cpp inference engine (one click auto-downloaded).

[Web Browser Content] LLM Wiki A pattern for building personal knowledge bases using LLMs. This is an idea file, designed to be copy-pasted to your own LLM Agent (e.g., OpenAI Codex, Claude Code, OpenCode/Pi, etc.). Its goal is to communicate the high-level idea, but your agent will build out the specifics in collaboration with you. The core idea: Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way. The idea here is different. Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources. When you add a new source, the LLM doesn't just index it for later retrieval. It reads it, extracts the key information, and integrates it into the existing wiki — updating entity pages, revising topic summaries, noting where new data contradicts old claims, strengthening or challenging the evolving synthesis. The knowledge is compiled once and then kept current, not re-derived on every query. This is the key difference: the wiki is a persistent, compounding artifact. The cross-references are already there. The contradictions have already been flagged. The synthesis already reflects everything you've read. The wiki keeps getting richer.

[Web Browser Content] Hermes Agent - Dashboard Gateway Status: STOPPED Active Sessions: 0 Recent Sessions: - Kanban Dashboard Remote Setup (GPT-5.5, 379 msgs) - Bot Identity Check (GPT-5.5, 11 msgs) - Switching to Claude Code Max (GPT-5.5, 8 msgs) - Installing Browserbase Autobrowse Skills (GPT-5.5, 322 msgs) Error Logs: - Gateway-Restart Started 2026-05-12 - Could not find service "AI.HERMES.GATEWAY-MAC-MAIN" in domain for user GUI: 501 - Bootstrap failed: 5: Input/Output error - Launchd job was unloaded; reloading - Gateway service restart failed. The service definition exists, but the service manager did not recover it. Update Logs: - Hermes-Update Started 2026-05-12 - Currently on detached head - Update failed: Command ['git', 'checkout', 'main'] returned non-zero exit status 128.

[Web Browser Content] CLiiT — CLI Infrastructure Tracker | Merlino AI Dashboard Overview: - Total: 119 - Done: 34 - Queued: 63 - Failed: 20 - In Progress: 6 (29% complete) Build Queue Status: - No builds are currently running. Service List: - Spamzilla (Browser Only, Hard, Attempt 82) - CTRify (Browser Only, Hard, Attempt 83) - OpenArt (Browser Only, Hard, Attempt 84) - WPX Hosting (Browser Only, Hard, Attempt 85) Navigation: - Mission Control - Developers - Call Tracking - CTR Geeks - Domain Portfolio - Ads Manager - Merlino Marketing - Hermes Agent

[Command-Line Output] Phase 3A: Redirect Pieces ingester to Memz Supabase Phase 3B: Ingest 5 new Pieces collections into Memz Phase 3C: Memz cross-memory API tentacles Phase 3D: Memz UI source filter + POWD Phase 3E: VPSI cloud backup mining Agent Status: - Dan: Backporting search fix + embedding video-sop - Merlin: Filling dev-sop content - Willie: Filling wp-sop content - Vox: Filling telephony-sop content - Shakespeare: Filling meta-ads-sop content Task Summary: - All 12 SOPs will have content - All 12 will have working RAG search - All 12 will be on the new OpenAI key System Actions: - Updated MASTER_API_KEYS.env - Verified OpenAI API key (HTTP 200, 136 models accessible) - Dispatching 5 parallel agents via honcho

[Command-Line Output] [Preferences and Traits for Agentic Workflow] - Portability: Standalone reference files for cross-terminal context. - User-centric UI/UX: Mobile-first, minimal fluff. - Communication: Direct, concise, no meta-talk. - Systematic Handoffs: Uses HANDOFF.json and .continue-here.md. - Diagnostic Instrumentation: Habitual status dumps and monitoring hooks. [Project Context] Mike's work centers on building an automated knowledge management system for AI conversations, transforming logs into structured wiki articles. Projects include MERA Project, Paperclip, GSD layer, BirdsEyeROI, ClawControl, and Creatify RankingReels. [Current Tasks] 3A: Flip ingester config to Memz Supabase + apply watermark migration. 3B: Build Memz's cross-memory tentacles (Brain, Hindsight, Honcho, Mem0). 3E: VPSI cloud backup mining. [System Status] Session age: 6h 6m, 167.3k tokens. Agent status: Carlos reporting back on lane results; Memz agent persona integration in progress.

[Web Browser Content] CLiiT — CLI Infrastructure Tracker — Merlino AI Build Next Status Summary: - DONE: 34 - IN PROGRESS: 16 (No builds currently running) - QUEUED: 63 - FAILED: 1 - TOTAL: 119 Build Progress: 29% complete, 0 active, 85 items Service List: 1. Skool | Assigned: OpenClaw | API Type: Browser-only (HAR sniff) | Difficulty: Hard 2. DataForSEO | Assigned: OpenClaw | API Type: REST | Difficulty: Easy 3. GoHighLevel | Assigned: OpenClaw | API Type: REST | Difficulty: Medium 4. CallRail | Assigned: OpenClaw | API Type: REST | Difficulty: Easy Additional Services: OpenArt, WPX Hosting

[Web Browser Content] Contact Goat | CLiiT Docs Super LinkedIn for the terminal — search, enrich, and map warm-intro paths across sources. CLiiT Docs Overview Getting Started Custom CLIS (Merlino Built) PrintingPress Library Contact Goat LinkedIn, Happenstance, and Deepline in one SQLite-backed CLI. Install npx -y @mvanhorn/printing-press install contact-goat Commands - prospect: Fan-out search across LinkedIn, Happenstance, and Deepline - dossier: Build a unified person dossier across all sources - warm-intro: Find who in your network can intro you to a target - coverage: Show who you know at a company or in a location

Speaker 1: And I made those fucking potatoes and you didn't eat them! Speaker 2: I didn't even eat dinner yet! What are you yelling about, bro? Hey, relax!

[Web Browser Content] Work Ads Manager printingpress.dev Merlino Marketing Hermes Agent - Dashboard Developers Call Tracking CTR Geeks Domain Portfolio Mission Control OpenClaw Mission 2025 - Google Drive Ask Gemini Bookmarklets

[Web Browser Content] Contact Goat Super LinkedIn for the terminal — search, enrich, and map warm-intro paths across LinkedIn, Happenstance, and Deepline in one SQLite-backed CLI. Part of PrintingPress Library JSON Output npx -y @mvanhorn/printing-press install contact-goat Commands Command: prospect | Description: Fan-out search across LinkedIn, Happenstance, and Deepline Command: dossier | Description: Build a unified person dossier across all sources Command: warm-intro | Description: Find who in your network can intro you to a target (cross-source) Command: coverage | Description: Show who you know at a company or in a location

[Web Browser Content] CLiiT Docs - Ahrefs Overview Home Getting Started Custom CLIS (Merlino Built) FFmpeg Agent GIMP CLI Multilogin X Obsidian CLI yt-dlp Agent PrintingPress Library (36) Ahrefs Archive.is Cloud Run Admin Company Goat Contact Goat Customer.io DigitalOcean Docker Hub Dub ahrefs-pp-cli keywords-explorer overview # Check rank positions for a project - keywords - ahrefs-pp-cli rank-tracker positions --project-id <id> --agent # Sync - ahrefs-pp-cli sync - ahrefs-pp-cli search "backlinks" --data-source local --json # Check API usage limits - ahrefs-pp-cli subscription-info All commands support --json for agent consumption.

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[Web Browser Content] Ahrefs Query Ahrefs backlinks, keyword, rank tracking, site audit, and SERP data from the terminal. Part of PrintingPress Library Install npx -y @mvanhorn/printing-press install ahrefs --cli-only Commands Command: auth | Description: Manage credentials Command: site-explorer | Description: Site Explorer endpoints (backlinks, referring domains, organic traffic) Command: keywords-explorer | Description: Keywords Explorer endpoints (keyword ideas, volume, difficulty) Command: rank-tracker | Description: Rank Tracker endpoints (position history, SERP features) Examples # Check backlinks for a domain ahrefs-pp-cli site-explorer backlinks --target example.com --json # Keyword difficulty and volume ahrefs-pp-cli keywords-explorer overview --keywords "local seo" --json # Check rank positions for a project ahrefs-pp-cli rank-tracker positions --project-id <id> --agent # Sync data locally then search offline ahrefs-pp-cli sync ahrefs-pp-cli search "backlinks" --data-source local # Check API usage limits ahrefs-pp-cli subscription-info --json JSON Output All commands support --json for agent consumption.

[Web Browser Content] CLiiT Docs - CLI Infrastructure & Inventory Toolkit Agent-native CLIS for video, image, browser, vault, and media workflows across the Merlino AI fleet. Tools: - CLI Tracker: 13 commands for video/audio processing with clean JSON output. - GIMP CLI: Batch image processing, format conversion, filters, and color adjustments. - Multilogin X: Browser profile management with Playwright/CDP integration. - Obsidian CLI: Full vault CRUD via Local REST API. - yt-dlp Agent: Download video/audio, pull transcripts, search YouTube, grab thumbnails — all routed through Oxylabs ISP proxies. What is CLiiT? CLiiT (CLI Infrastructure & Inventory Toolkit) is Mike Merlino's unified ecosystem for building, deploying, and managing CLIS across the Merlino AI fleet — 7 machines running in sync. Three Pillars: - PrintingPress Factory: Builds CLIS from APIs, specs, HAR files, and browser traffic. - CLI Tracker Dashboard: Kanban-style build queue and fleet status. - Fleet Deployment: 7 machines all running PP + core CLIS.

[Web Browser Content] CLiiT Docs: yt-dlp Agent Overview Agent-native CLI wrapper for yt-dlp. Token-efficient, clean output, Oxylabs ISP proxy routing by default. Download video/audio, pull transcripts, search YouTube, grab thumbnails, and batch-process URLs. Install pip install Proxy All commands route through Oxylabs ISP proxies by default (randomized from a pool of 50 ports). Credentials are loaded from env vars: OXYLABS_USERNAME = "your-username" OXYLABS_PASSWORD = "your-password" OXYLABS_HOST = "isp.oxylabs.io" OXYLABS_PORT_START = "8001" Path: D:/C1audeDev/ee_GITHUB/c1iit/c1is/ytd1p-agent

[Web Browser Content] OpenAI API Keys Dashboard Manage your secret keys for the OpenAI platform. API Keys List: - memz (Active, Created by Michael Merlino) - ranking-reels (Active, Created by Michael Merlino) - va (Active, Created by Michael Merlino) - calltrack (Active, Created by calltrack) - calltraker (Active, Created by Michael Merlino) - calldecoderlove (Active, Created by Michael Merlino) - blogstrorm (Active, Created by Michael Merlino) - aycd (Active, Created by Michael Merlino) - surgegraph (Active, Created by Michael Merlino) - Johnbert (Active, Created by Michael Merlino) Security Warning: Do not share your API key with others or expose it in the browser or other client-side code. OpenAI may automatically disable leaked keys.

[Command-Line Output] Phase 3 dispatched. Carlos is conducting all 5 lanes in background. 3A — Flip ingester config to Memz Supabase + apply watermark migration Ingest the 5 remaining collections (Tags, Persons, Websites, Hints, Events) into Memz 3B — Build Memz's cross-memory tentacles: clients into Brain, Hindsight, Honcho, Mem0 + a unified memz_query() so Memz the agent can answer across every store 3C — Frankie: source filter on memz-stlk so we finally get a real visual POWD 3E — VPSI cloud backup mining (deferred from Phase 1) Memory hygiene done. Updated the no-timetables rule to cover hour/minute estimates too. What I'll do when Carlos reports back: Synthesize the lane results, show you the POWD screenshot, and tee up Phase 4 options — either SSE live-delta listener, Discord/MCP integration, or retiring memz-stlk in favor of pure Brain integration. [Claude Code v2.1.140 Status] 1 local agent still running (23m 32s elapsed) 1 awaiting input, 0 working, 3 completed Recent tasks: - Skill audit reconciliation - Vox hardcoded credentials - Stripe checkout Next.js app

[Command-Line Output] Phase 3 dispatched. Carlos is conducting all 5 lanes in background. What's running: 3A — Flip ingester config to Memz Supabase + apply watermark migration. Ingest the 5 remaining collections (Tags, Persons, Websites, Hints, Events) into Memz. 3B — Build Memz's cross-memory tentacles: clients into Brain, Hindsight, Honcho, Mem0 + a unified memz_query() so Memz the agent can answer "what do we remember about X" across every store. Frankie: source filter on memz-stlk so we finally get a real visual POWD. 3E — VPSI cloud backup mining (deferred from Phase 1). Master Brain = the all-knowing memory thing you described. - Has the 3D graph + galaxy view + chat (Jarvis-style) - Has 555K rows of every kind of memory + knowledge - Has Ne04j entity graph - Started March 2026 Memz (memz-stlk.vercel.app) - a smaller dashboard with overlapping features. - Has Dashboard, Search, Timeline, Agents — same names as Brain - Has 16K rows (mostly Pieces) - No 3D, no Galaxy, no Chat - Started May 2026 (same day the one-brain-project.md rule was written) Translation: Master Brain is the bigger, fuller version of what Memz was trying to be. Your one-brain-project.md rule was right the first time.

Screen: How content was made: Used Anthropic API?: x Used OpenAi API?: SOP: dev-sop, wp-sop, How content was made: Used Anthropic API?: Agent wrote MDX in Max runtime, x skipped ran out telephony-sop, meta-ads-sop embedding step failed OpenAI now drained Agents tried to run Dan's ingest-chunked. ts (Anthropic API path) -4 failed at credit wall, x blocked never tried pivot Used OpenAI API?: not attempted What this means Subagents reading + writing markdown = Max plan (free) Vector embeddings for search = OpenAI API (drained) Dan's original ingest-chunked. ts script = Anthropic API (drained, never actually ran successfully on any SOP) The 7 wins all used the "agent reads skills, writes MDX directly" approach. The 4 fails were agents that obediently tried Dan's script and So to finish Only thing you

Screen: bash x How content was made: Used Anthropic API?: x Used OpenAi API?: SOP: dev-sop, wp-sop, How content was made: Used Anthropic API?: bash Agent wrote MDX in Max x skipped ran out runt , embedd tng step failed OpenAI now drained telephony-sop, meta-ads-sop Agents tried to run Dan's ingest-chunked. ts (Anthropic API path) -4 failed at credit wall, x blocked never tried pivot Used OpenAI API?: not attempted What this means Subagents reading + writing markdown = Max plan (free) Vector embeddings for search = OpenAI API (drained) Dan's original ingest-chunked. ts script = Anthropic API (drained, never actually ran successfully on any SOP) The 7 wins all used the "agent reads skills, writes MDX directly" approach. The 4 fails were agents that obediently tried Dan's script and stopped when it f

[Web Browser Content] OpenAI API Keys Dashboard Security Warning: Do not share your API key with others or expose it in the browser or other client-side code. OpenAI may automatically disable any API key that has leaked publicly. API Keys List: - ranking-reels (Active) - calltrack (Active) - calltraker (Active) - calldecoderlove (Active) - blogstrorm (Active) - aycd (Active) - surgegraph (Active) - Johnbert (Active) - Sean (Active) Created by: Michael Merlino Action: Create new secret key Modal: API key generated! Save your key. Please save your secret key in a safe place since you won't be able to view it again.

[Web Browser Content] Usage - OpenAI API Dashboard Overview: - Total Spend: $6.15 - Total Tokens: 192,471 - Total Requests: 2,350 Usage Breakdown: - Responses and Chat Completions: 2.35K requests, 192.471K input tokens - Images: 0 requests Recent Activity: - May 13, 2026: $0.22 - May 12, 2026: $1.51 - May 11, 2026: $0.78 User: Michael Merlino Project: Default project

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Screen: Dashboard API Docs CTR Geeks Default project Home Total tokens > 89,390 Responses and Chat Completions > 340 May spend 24h Credit balance 30d 90d P Create API key Agent Builder Total requests > 340 R Assistants Recommended models Updates Manage Usage % ChatGPT Apps 6 days ago Introducing GPT-Realtime-2, GPT-Realtime-Translate, an... Try the latest voice models in the API: GPT-Realtime-2 brings GPT-5 class reasoning to voice models while GPT-Realtime-... GPT-5.5 A new class of intelligence for professional work GPT-5.4 Intelligence at scale for agents & professional work GPT-5.4-mini Faster, cost-efficient version of GPT-5.4 19 days ago GPT-5.5 brings a new class of intelligence for real work GPT-5.5 brings higher intelligence and stronger token efficiency to complex work, helping tasks get

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[Web Browser Content] Call Tracking Google Drive Ads Manager Merlino Marketing Hermes Agent CTR Geeks Domain Portfolio Mission Control OpenClaw Mission Recent Files: - Michael's Fireflies Tracker (Edited today) - Wolf Pack Meeting: Merlino / Gregory / Brian (Edited today) - Pieces.zip (Opened today) - Ascend/Archangel GMB/CTM Confirmation Search History/Bookmarks: - Anthropic Console (Claude API) - Anthropic Academy: Claude API Development Guide - GitHub: anthropics/skills/skill-creator - OpenAI API Overview, Billing, and Projects - GitHub: openai/agents.md

[Command-Line Output] Rough cost analysis for SOP ingestion: - OpenAI API (text-embedding-3-small): $15-40 for 5 unfinished SOPs. - Embeddings: $0.02 per SOP (practically free). Recommendation: 1. Top up $25 Anthropic + $5 OpenAI credits. 2. OR: Re-architect ingest as an agent task (using Claude Max plan) instead of a script. Agent Task Approach: - Dispatch subagent to read corpus and write MDX. - Cost: $0 in API credits (uses Max plan), but slower due to agent overhead. - Note: Embeddings still require OpenAI ($1). Status: - 6 tasks (3 done, 3 open). - Current tasks: Wire Obsidian vault, stress test environments, skill cleanup. - Dan needs to refactor (1 hour) if choosing the agent-task route.

[Editor Content] Aqua Voice v0.14.2 Settings: - Microphone: Default (Mic (2- Insta360 Link 2)) - Transcription Model: Default - Deep Context: 1.1 History: - 6 hours ago (00:09): "What does Dan think about this? And I have a question. Let's test and see how that MCP works. Does it actually work?" - 7 hours ago (00:17): "So I'm going to let you grab only the top skills you know that'll work, so you're not grabbing that many skills. Or grab them all and then your job is to test and go through them and self-learning, figure out which ones we actually need and how to set them up properly." Notes: - 0 credit cost, but Dan has to refactor (1 hour). - 5 stalled SOPs ingest in mountain time.