Full history.

Continued hardening the review-first social scheduler with client/source selection, DOCX/PDF editorial parsing, mention enrichment, platform-aware media matching, API or browser scheduling paths, draft-only fallbacks, duplicate checks, and proof-style result reporting so batches can be reviewed before anything goes live.

Logged a Tidesstunes social-pipeline proof run: one publish-now flow reached sent status after polling, and two future Pinterest posts were scheduled for the next weekend, keeping the workflow accountable with cycle result files rather than relying on memory.

Refined the AI opportunity scout around recency and honesty: added posted-at tracking, freshest-first sorting, dashboard freshness badges, stale-lead dimming, CSV recency fields, and a rule to retire old signals instead of padding the pipeline with outdated public posts.

Turned new AI-service ideas into reusable delivery templates: an AI visibility audit for checking whether businesses appear in AI assistant answers, plus a lead-pack sample framework for scored local-business opportunities, both designed for human verification before anything is sent or sold.

Added a new JQ AI SYSTEMS article on the agent super-app race, connecting Codex Sites, Cursor Canvases, DeepSeek V4 economics, Hermes Desktop, messaging agents, and Microsoft signals into a practical builder view of durable agent work surfaces, with source checks, OG artwork, post-index placement, and llms.txt coverage.

Built a local, review-first AI opportunity scout for finding public AI-solvable business pain: manual/search-link intake, optional public-source scanning, deduped lead records, Claude scoring with a heuristic fallback, fit bands, solution ideas, outreach drafts, Rich review, dashboard output, and CSV export, keeping outreach as a human-approved workflow rather than auto-sent messages.

Added a June 7 JQ AI SYSTEMS article on Hermes Desktop as an agent workspace, covering sessions, profiles, artifacts, skills, cron jobs, sub-agents, model routing, business use cases, and review boundaries, with official-source checks, Open Graph artwork, post-index placement, and llms.txt coverage.

Expanded the JQ AI SYSTEMS internal-systems proof repo with sanitized case studies and a client-intake automation blueprint, including public-safe problem, workflow, outcome, adaptation, fake-data planning, scoring, response-template, and review-queue materials while keeping source code, credentials, raw prompts, databases, logs, exports, and client-sensitive material private.

Upgraded the social scheduling workflow with a direct API scheduling path and stronger media QA: platform-specific media matching for LinkedIn, Facebook, Instagram, and Pinterest, temporary public media URLs for scheduler ingestion, draft fallback for past or missing-media posts, duplicate skip checks, dry-run, limit, future-only controls, and clearer review results before anything is scheduled.

Moved JQ AI Skills to v0.7.5 with a release-to-showcase handoff proof sample, showing how a public release flows into profile copy, website source updates, host upload packages, live URL verification, and final status notes, plus a refreshed JQ AI SYSTEMS GitHub profile with public-safe workflow visuals and proof links.

Added a stronger Codex Control Center readiness layer: workspace registration and browsing, publish-readiness checks, vault-health scoring, safe result copy and Markdown reports, result categories, read-only follow-up task templates, and expanded API/UI tests so workspace audits stay useful without exposing prompts, raw logs, secrets, or full local paths.

Extended Codex Control Center from a local prototype into a stronger public proof package: a fake-data interactive demo, launch/tutorial/browser-walkthrough scripts, storyboards, HyperFrames video sources, rendered draft review frames, clearer README guidance, task templates, and a stricter public-safety scan for keeping private sessions, prompts, logs, paths, databases, and credentials out of the publishable repo.

Advanced JQ AI Skills through the v0.7.1-v0.7.4 proof cycle: refreshed the skill quality matrix, added update-after-release proof, added utility-skill proof for smaller tools, added a demo-animation-v2 walkthrough sample, and aligned the website/system page, llms.txt, sitemap, and GitHub profile notes around the current v0.7.4 release.

Added a new AI-site content and SEO batch around Codex and agent work: articles on Windows-native Codex, Codex as a ChatGPT work platform, role-specific workflow plugins, Codex Sites as always-on internal tools, and a weekly GitHub repo roundup, plus Open Graph artwork, post index updates, sitemap coverage, llms.txt coverage, and supporting blog images.

Prepared a public-shop Pinterest and Etsy growth audit for JJBQDesignStudio, focusing on profile clarity, board focus, product discovery, pin SEO, save-worthiness, and the Etsy-to-Pinterest funnel, with recommendations kept at a strategic level rather than exposing private account details or internal reference boards.

Built a local Codex Control Center prototype: a FastAPI, SQLite, and React dashboard for observing Codex sessions, usage metadata, local skills, schedules, approval-gated tasks, and redacted results, with observe/control modes, loopback defaults, no auth file access, blocked danger-full-access, demo screenshots, tests, and a public-safety publishing checklist.

Added a June 3 content and SEO pass on JQ AI SYSTEMS: new posts on agent workspaces, practical AI skills, and the deployment gap for one-person AI businesses, plus Open Graph artwork, sitemap and llms updates, a refreshed home Studio Notes strip, and a review-ready Trend2Build note around agent control layers.

Moved JQ AI Skills onboarding forward through v0.7.0 with a first-install proof trail: fake candidate files, expected READY review, first-skill scorecard, temporary install verification, smoke-test sample, and a linked proof path so visitors can test one safe skill without using private material.

Built a JJBQDesignStudio shop-showcase video workflow with listing image prep, 17 featured product assets, an Etsy and Pinterest CTA scene, and an 8-slide carousel composition for turning marketplace listings into short promotional video material.

Refreshed the personal branding homepage around clearer conversion paths: stronger brand-identity positioning, free-consultation and brief CTAs, a launch/rebrand/grow bridge, service and portfolio routing, testimonials, richer metadata/schema, and a Lighthouse-informed conversion check.

Added deterministic OutreachIQ email QA and repair helpers: local tone audits for greetings, hard CTAs, repeated phrases, credential dumps, weak evidence, and AI-overuse, plus safe repair variants that improve existing drafts without calling AI or sending anything.

Advanced JQ AI Skills into a clearer public proof library through v0.6.4: quick reference, first-use walkthrough, visitor paths, installed-skill update guide, public proof index, stronger catalog links, profile announcements, and website alignment so visitors can evaluate, install, update, and review the library faster.

Built a private, manual-first social signal companion for finding public AI and builder conversations, scoring reply opportunities, drafting short comments, checking privacy and voice quality, pacing daily engagement, tracking outcomes, and keeping every action review-based instead of auto-posted.

Hardened the multi-client social scheduling dashboard with a proper content-source registry, pre-schedule review tokens, selected-post checks, media and video-codec warnings, generated video thumbnails, mention and first-comment checks, alert review, preview mode, and stronger safeguards before Metricool scheduling runs.

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.