You built a team: Reggie, Pam, Jeff, Gary, Virgil, LeVar, Wendy, Warren, Wendall. The next move is making them work together. One operator on top, three departments under him, every hand-off tracked. Here's the architecture.
Open this on the Mac mini and copy prompts in order. Everything is read-only until Matt says yes. One thing at a time.
Claude Code → /model: is Fable 5.1 there? Then three questions: when did it last stall, was it power-cycled since, did the screen wake or did it ping? Hand Matt the card.
P1 looks at the logs and says why it’s quitting. Paste its closing section to Tucker’s Fable, which names the class.
P12 turns Reggie’s report into a truth table while Fable classifies; it must see the machine before anything changes. Then P13 fixes the class found, one change at a time, undo written first.
Pam reports what “passed” measured and her counts. If it doesn’t add up, Claude Code connects to Otter and pulls one transcript Matt picks into a test folder.
Matt asks Virgil for three concepts his usual way. Then P5 inspects what Virgil sent, interviews Matt, and does the content waterfall from today’s Substack post properly. Then Virgil again, with context.
Reggie proposes the upgraded weekly report and applies it on Matt’s yes. Close with WORKING / LIMITED / BROKEN / DECISION NEEDED, one next command Matt runs himself, and the backup homework.
gateway restart --safe, not a hard kill./mcp. One file, his pick, written to a test folder so it cannot skew Pam’s counts or watermark.openclaw backup create --verify. The first change of the day, whatever else we find.pmset -a sleep 0 disksleep 0 standby 0 powernap 0 for always-on minis.openclaw update · doctor --fix · deleting duplicates, staging, or the 7.1 GB archives · RAM, reinstalls, or hardware · Figma or Higgsfield · the website launch.
Fable 5.1 as the orchestrator, Sonnet as the hands: the strongest model judges and writes; cheaper read-only subagents do the reading. That split is in every prompt on this page.
Claude Code and OpenClaw side by side: two systems on one Mac, aware of each other through files. Today Claude Code pulls one Otter transcript into Pam’s archive as a second path.
Cold review: a second model checks the first model’s work against the sources before a human reads it. Three passes on this page caught a rollback command and an ungated “probe” hiding in read-only prompts.
Tailscale remote access: reach the Mac mini securely from another approved computer to launch, monitor, and resume long jobs.
A focused control page for the work Matt and Tucker can launch on the Mac Mini while they talk. Start with the truth, make the platform current, ship the website, then use the remaining time for one fun proof.
Do this only after the audit returns READY TO FIX: verify the installed version and current supported release; read the migration notes; confirm a restorable config/workspace backup; stop concurrent major jobs; record the current routes, cron definitions, and connector state; update through the supported installer; run doctor/status; re-prove every agent route, required connector, skill inventory, and owned cron; document the rollback command and final version.
Inspect the website Matt has been building: current repo, branch, local changes, build command, host, domains, secrets exposure, mobile behavior, forms, analytics, and rollback path. Show what is already live, what is local only, and the exact blockers. If it is ready, prepare a preview and deployment checklist. Commit, push, host, connect a domain, or deploy only after Matt explicitly approves the exact target.
Fable 5.1 + RSI: where the strongest reasoning model and iterative self-review actually help.
Google Sheet CRM: a lightweight people, last-touch, follow-up, and source-link system—with Gmail read-only first.
Grok bots: timely research and source-watch agents, with citations and approval before any external action.
Tailscale remote access: securely reach Matt's Mac Mini from another approved computer to launch, monitor, and resume long Claude Code or OpenClaw jobs without exposing the Mac to the public internet. Start with one private connection and prove access, permissions, and recovery before relying on it remotely.
Session rule: one major workflow at a time. Checkpoint jobs longer than 15 minutes. A nominally successful run that could not read files, invoke tools, or produce the artifact counts as failed—not working. The ideas above are conversation sparks, not extra must-wins.
Matt already has the working agenda in Apple Notes. This page gives the three deeper prompts: clean up the Studio, make it talk back in the car, then use the full Tucker-and-Matt history to decide what matters next.
Two builds this session: turn Matt's saved inspiration into a working design engine for Gary, and blueprint the family assistant. Plus the website goes live and the quarterly audit runs.
Research across the last 60 days of real workflows, plus first-party checks on every tool claim. The pattern that wins is not one magic prompt. It is taste library → brand brief → reusable templates → batch drafts → human approval.
Canva now has an official MCP. Gary can generate designs, make targeted edits, search templates, and export, then Matt opens the result in normal Canva for final polish. AI supplies drafts, copy, and photo treatments; Matt keeps final typography and approval. Fast, editable, and forgiving while the style is still forming.
For standout posts: a small library of real, consented photos of Matt as identity anchors, three generated concepts per idea, dense text kept out of the image, exact headline added in Canva. GPT Image 2 leads for text-heavy graphics; Gemini leads for grounded photo edits. Every letter and logo still gets proofed by a human.
What we ruled out for now: Adobe's MCP is developer documentation, not an editing surface. Figma's MCP is real but the wrong altitude for coaching posts. Template automation like Placid or Bannerbear waits until 20 to 30 published posts reveal which formats repeat.
One new Telegram bot, one family group, first mission is the family trip. Groceries and the morning brief come after the trip workflow earns trust.
Family group → dedicated Family HQ agent with its own workspace → shared itinerary, lists, and a new shared family calendar. Matt is the only one who can DM the bot; everyone else talks to it in the group. Exact numeric allowlists, no wildcards. Every external action, invites included, waits for Matt's approval in the group.
The credible family wins from real households: one canonical grocery list, a read-only morning brief, a trip workspace, and confirmed-only calendar invites. Ambient monitoring and autonomous booking are risk dressed as magic.
Prompt rule: run one major build prompt at a time, through Reggie. Specialists can help with bounded tasks inside the current stage, but Prompt F, Prompt G, Family HQ, and the audit should never all run concurrently.
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mattprusak/autoresearch-genealogy. LeVar researches deceased relatives with citations and confidence tiers; Editor separates facts, memories, and lore; ElevenLabs creates only an approved standard-narrator sample before the full private episode. No voice cloning, public repository data, or family distribution without explicit approval.
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Right now each agent is sharp on its own. That's also the problem. The upgrade is the connective tissue between them.
Your loop, encoded: "Reggie, here's an idea: architect it. Tell me what I do vs. what the team does. Least work for the best result, don't shortcut anything." He routes it, collects the work, and reports back, the way a producer runs a film set. And you can still walk up to any specialist directly.
"Look into this founder on X, then turn it into a post."
Spins up the researcher to pull only what matters. No doomscroll.
Findings hand off to distribution; Gary drafts in your strategy.
Editor checks it sounds like you. Reggie logs it. You approve.
The operator is only as good as the mind behind him. Put Reggie on the fastest top-tier model and two things change.
Running the brain on the best model is the cheapest line in the whole build. The leverage is worth far more than the tokens.
Feel it first, then make it run itself. No teardown required.
Every agent logs its work to a shared board. Reggie reviews it and gives you one digest. Ask "what's Gary been up to?" and get a real answer.
Reggie triggers the right teammate and chains their work, so the output of one becomes the input of the next. We prove it on one flow, then repeat it across the org.
Tap any tool to get the exact prompt that turns it on.
The same system runs your life, not just the business. Tap to see the prompt.
One session, four moves, in order. Each one ships before the next starts.
Fable reads the whole workspace (folders, agents, memory files, tools) and proposes the build order.
The shared team log goes live, with a RIGHT NOW snapshot of who's on what.
Every agent gets its operating block. The Editor gets your voice profile.
LeVar → Gary → Editor, end to end, logged on the board. Proof, not promise.
Three prompts, in order. The first makes Reggie prove he understands your actual setup. The second promotes him and builds the shared log live, in front of you. The third builds you everything the $1,500 course was going to sell you.
The log lives in a Google Sheet (safe for many agents writing at once, and something you can open on your phone). Reggie keeps the live snapshot. The dashboard comes next.
The teardown file to paste with Prompt 3: MATT-GRAY-TASTE.md → (built from 400 public posts, his sales page, and his own YouTube breakdowns)
Two must-win outcomes, then the technical checks. Finish the governed team and one real workflow before expanding the toolset.
A lightweight first version of Matt's vintage concept: curated wardrobe album → extracted closet inventory → outfit recommendations → approximate visual try-on → later measurement-backed vintage fit confidence.
See the wardrobe prototype on X →
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