Hardened the local social scheduling control room and ran a June scheduling batch across LinkedIn and Facebook: DOCX plan parsing, mention preflight, media matching, video codec and thumbnail checks, first-comment support, link-preview protection, selected-post scheduling, and proof screenshots for human review.
Full history.
The small running log behind the homepage status strip: models I am testing, systems in progress, experiments, and field notes from the studio.
Added a new JQ AI SYSTEMS GitHub AI repos roundup covering financial-services agents, CodeWhale, AgentMemory, 9router, AI-Trader, and related builder tools, with FAQ/schema-ready structure, a practical checklist, Open Graph artwork, posts index updates, and llms.txt coverage.
Built out a local social scheduling control room for LinkedIn and Facebook: DOCX/PDF plan parsing, media matching, mention and first-comment checks, ready/missing status labels, posts.json backups, and selected-post scheduling through Metricool.
Prepared a revised Adobe Stock metadata batch for 76 PNG assets, with upload-ready CSV rows, 46 unique lowercase keywords per file, numeric category mapping, release notes, similarity-risk warnings, and visible-text/trademark checks before submission.
Updated the public GitHub profile README into a cleaner proof layer for JQ AI SYSTEMS, pointing visitors toward sanitized internal-system case studies, public demos, reusable AI skills, and the main website without exposing private source or client data.
Prepared a small qualified-lead Google Ads pilot for the personal branding site, adding attribution preservation for click IDs and UTMs, hidden lead-form fields, Consent Mode defaults, privacy copy, and internal email attribution for contact and logo-brief enquiries.
Ran a new OutreachIQ operations pass with review boundaries intact: 444 prospects in the local dataset, 19 prospects queued and scored, and 13 outreach drafts generated for human review before anything is sent.
Prepared a public-safe X content pack and Trend2Build summary around small-business AI moving beyond chat into connected workflows, tying current AI announcements to JQ AI SYSTEMS examples like Etsy to Pinterest, OutreachIQ, content calendars, and stock metadata.
Added two AI-site articles with OG images, sitemap entries, llms.txt updates, and internal links: one on Karpathy joining Anthropic as a context-system signal, and one framing Gemini Omni as a practical AI video workflow layer.
Prepared the Week 21 research package for AI and SEO opportunities, identifying agent workflow memory, small-business workflow packs, MCP connectors, AI search monitoring, and AI-ready brand guidelines as the strongest next content and service directions.
Tightened the Tidesstunes Buffer posting script with safer run controls: Cloudinary asset preflight checks, dry-run mode, start-at resume support, retry-from-result filtering, and clearer handling before social posts are sent.
Completed a full SEO and AEO audit for the JQ AI SYSTEMS site, checking live routes, local PHP rendering, sitemap coverage, metadata, structured data, crawler policy, llms.txt, and Search Console follow-up items before the next deploy.
Prepared two AI-agent architecture articles around the /goal pattern in Codex, Claude Code, and Hermes, including OG images, blog metadata, sitemap entries, llms.txt updates, and internal links into the agent-architecture service layer.
Built and installed a lightweight JQ Terminal plugin for Obsidian, adding embedded PowerShell/CMD/Git Bash terminal panes, open-here commands, search, history save, tab rename, and external-terminal shortcuts inside the vault workspace.
Built a Next.js and Supabase AI news command center for tracking AI, coding, design, and news signals, importing saved links, grouping archives by Lisbon day, managing public/private resource visibility, and generating morning briefs from source adapters.
Ran the Tidesstunes social pipeline through Buffer, cycling Cloudinary music clips across TikTok, Instagram, and Pinterest with platform-specific captions and result logging; the latest run recorded 57 successful scheduled or accepted posts with no errors.
Started a new AgentOS v2 workspace as a local command center for AI-agent work, with mission control, Claude/Codex agent rooms, session tracking, journal, memory, goals, deploys, keyword radar, SEO audits, SQLite storage, and a command palette.
Built out BrandPulse as an AI brand audit flow: a public JQ AI SYSTEMS landing and case-study page plus a Python/Flask scoring prototype that crawls a URL, uses Claude to score brand health, stores scan history, and supports report capture.
Generated social preview images for the personal branding portfolio and brochure pages, covering dozens of portfolio projects plus PDF brochure cards so shared links look more consistent on social platforms.
Added a dedicated portfolio brochures page on the personal site, with embedded PDF previews and download links for the complete branding portfolio, Agent Inc materials, magazines, stationery, and wine branding work.
Refreshed the personal branding content layer across key logo and brand identity articles, strengthening schema, breadcrumbs, service links, consultation CTAs, and the connection between blog content and portfolio proof.
Expanded the Agent Inc. luxury real estate case study with a richer collateral gallery, marketing-materials previews, graphic standards links, and launch campaign media to better show the full identity system.
Added a localhost web dashboard to Social Finder, turning the Reddit lead-scanning prototype into a reviewable interface with campaign filters, scores, statuses, reply drafts, approve/skip/replied actions, and live stats.
Added a public proof gallery to the Etsy to Pinterest case study, showing import organization, AI SEO for image pins, scheduling workflow, and the separate manual queue for video pins.
Testing GPT-5.5 Codex and Claude Code side by side on real website maintenance tasks, not synthetic prompts.
Refining the OutreachIQ demo: cleaner prospect scoring, better contact research, and exports that feel usable by an actual sales team.
Turning repeated SEO and content work into a daily pipeline: brief, draft, publish, index checks, then improve from Search Console data.