Founding Cohort - 12 Seats · Starts July 7

man's best
bot.

You already use ChatGPT, Claude, Copilot - maybe a few automations too. And you're still losing 10+ hours a week to tool switching, broken workflows, and AI that forgets everything the second you close the tab.

Your AI tools are powerful alone. We make them work as one.

Apply for the Founding Cohort $10,000 total · 3 months · 12 seats · Starts July 7, 2026
The Problem

You bought the tools.
Nobody wired them together.

You've spent real money on AI. ChatGPT Pro, Claude, Copilot — maybe custom agents and API chains on top. It works… until it doesn't. You're still the glue holding six disconnected tools together. Copying context. Restarting dead automations. Re-explaining yourself every session. The AI was supposed to give you time back. Instead it became another thing you have to babysit.

🔥

Too many tools. No shared brain.

ChatGPT for one thing, Claude for another, Copilot somewhere else. Six subscriptions. Zero integration. You're the middleware - copying, pasting, and re-explaining yourself between tools that have never heard of each other.

🔇

Automations fail quietly.

The workflow works until it doesn't. No error, no alert. You find out after the miss, when the thing it was supposed to do didn't happen.

🧠

Your AI starts from zero every time.

No memory. No preferences. No compounding value. Every conversation starts cold. Your AI is brilliant for 20 minutes, then forgets it ever knew you.

⏱

The cost isn't the subscriptions. It's the interruptions.

Ten minutes here. Twenty there. All week long. You were promised leverage. You got a second job babysitting tools that were supposed to work without you. That's where the 10+ hours go.

Sample Finding

What a real time leak
looks like.

One finding, out of typically 8-15 per audit. This one alone was eating 6+ hours a week.

Finding #3 - Everything Taking the Slow Path
⚠ Critical High confidence

Routine Work and Deep Work Using the Same Slow Path

Verified from workflow audit Time impact: High Effort to fix: Low

Email drafts, scheduling, and lookups were being handled the same way as high-stakes analysis. That meant unnecessary wait time on simple tasks and constant context-switching all week — you start something else while waiting, then get pulled back. Six hours a week, gone.

⏱ Estimated Time Impact

6+ hours/week lost to waiting and context-switching. Premium models take 8-15 seconds per response on simple prompts. Lighter models handle the same tasks in under 2 seconds at 95% quality.

✓ Recommended Fix

Route routine work to fast paths, reserve heavyweight tools for real reasoning, and carry context forward automatically. Estimated time saved: 6-8 hours/week. Implementation: one afternoon.

Analyzed by Badmutt Source: workflow audit · Confidence: High
Finding #7 - Memory Architecture
⚠ Critical Strong confidence

No Persistent Memory - Every Session Starts From Zero

Verified from workflow audit Time impact: High Effort to fix: Medium

The client re-explains their role, preferences, project context, and communication style at the start of every AI session. Across 15-20 sessions per week, that's 3-5 minutes of setup each time. The AI never learns, never remembers, never compounds.

⏱ Estimated Time Impact

60-90 minutes/week on repetitive context-setting. But the hidden cost is worse: the AI never gets good at your specific work because it has no history to learn from. You're training a new intern every single session.

✓ Recommended Fix

Implement a persistent memory layer - session summaries, preference files, and domain knowledge that carry forward automatically. The AI should know your patterns by week 2, not ask about them in week 12. Estimated time saved: 1-2 hours/week direct, plus compounding quality improvement.

Analyzed by Badmutt Source: workflow audit · Confidence: Strong
Proof of Concept

The founder built it first.
On himself. In six weeks.

Garrett Mastro doesn't teach frameworks he read about. He's a full-time options trader who built a fully automated 22-strategy trading system — profitable across every quarter it's run. Then he turned that same systematic, checklist-driven methodology on his own AI stack. What follows is exactly what he built, and how long it took.

Starting point

Six weeks ago, his AI setup was: ChatGPT, used occasionally, with zero memory and zero integration. Every conversation started from scratch. 2.6GB of documents scattered across Google Drive with no system. Newsletter written manually — hours per issue. No monitoring, no automation, no agents. Just a browser tab he opened when he needed something.

Before → After

Feb 16, 2026

  • ✕ChatGPT with no memory — re-explained everything every session
  • ✕347 documents scattered across Drive, unsearchable
  • ✕Newsletter written manually — hours per issue
  • ✕Zero automated monitoring of markets, news, or security
  • ✕No agents, no system — just individual tools used one at a time

April 3, 2026

  • ✓5 AI agents with persistent memory — never re-explains context
  • ✓All documents organized, indexed, searchable, auto-backed-up
  • ✓Newsletter: screenshot → AI draft → edit → publish in minutes
  • ✓9 automated jobs running 24/7 — intel, security, health, backups
  • ✓7-model Board of Directors for independent decision review

By the numbers

6

weeks, start to full system

5

coordinated AI agents running 24/7

9

automated jobs, zero daily intervention

10+

hours/week reclaimed (conservative)

347

documents organized from chaos to searchable

$0

per-token cost for local LLM operations

The build

WEEKS 1–2

Established the AI agent's identity, memory system, and operating rules. Audited 2.6GB of Google Drive — 347 documents, 360K words — and built a 14-category taxonomy. Set up Drive API integration and moved 102 files into the new structure. Zero to organized in two weeks.

WEEKS 3–4

Ran a failure audit on 1,494 messages to find every breakdown. Deployed Scout (daily intel monitoring across 89 accounts) and Sentinel (twice-daily security sweeps). Built the Board of Directors — 7 AI models giving independent reviews on major decisions. Installed a local LLM for zero-cost classification at 93.1% accuracy. Added local audio transcription, automated health checks, and a monitoring dashboard.

WEEKS 5–6

Migrated everything from a laptop to a dedicated Ubuntu server. Deployed 9 automated cron jobs that run without intervention — intel, security, backups, health checks, and a supervisor that monitors the monitors. Added a knowledge base librarian bot, automated newsletter workflow, local embeddings replacing cloud APIs, and a smoke test suite with 23 automated checks. Built and launched badmutt.com.

This isn't a hypothetical. It's not a demo environment. It's the actual system running the business you're reading about right now — this website was built, reviewed, and deployed by the same AI stack described above. The methodology that built a fully automated trading system with 15 consecutive profitable quarters is the same methodology we apply to your AI workflow in the cohort.

What You Get

Three months.
One system that actually works.

Audit. We map every tool, prompt, automation, and handoff you're relying on and show you exactly where the time is leaking. Most people discover 2-3 tools they're paying for and barely using.

Simplify. Cut the dead weight. Give every tool one clear job and make them actually share context so you stop being the middleware.

Build. We build the missing pieces — persistent memory, smart routing, automations that don't die — live in your real environment during the daily sessions. Not a deck. Not homework.

Train. We train the system on how you work — your style, your domain, your shortcuts — so it gets sharper every single week instead of resetting every Monday.

Verify. You leave knowing how to maintain it yourself. No dependency on us after the 90 days.

Fit Check

Who this is for:

This is for you if
  • You already use AI every week - ChatGPT, Claude, Copilot, custom agents, or all of the above
  • You're bouncing between multiple tools or half-working automations
  • Your time is worth $300-$500/hour and you're spending too much of it on AI babysitting
  • You want a system, not another subscription
This is not for you if
  • You're starting from zero with AI
  • You want a course with recordings you'll never watch
  • You're shopping for optics, not outcomes
Who's Behind This
Mastro
Mastro
Founder, Badmutt

I built a fully automated 22-strategy options trading system — profitable across every quarter it's run, 15 straight. The same systematic, checklist-driven methodology that built that system is what I apply to AI workflows. After fixing my own AI stack — built on OpenClaw, an open-source AI agent framework — and getting 10+ hours a week back, I started wondering why everyone around me was still drowning in the same mess. Badmutt is the answer.

mastro@badmutt.com Telegram: @gjmastro
What People Say

About working with Mastro.

"You are so far ahead of anyone I have followed over the last 25 years."

— Bill B.

"Finished assets were always creatively on point, well researched and a pleasure to read. Strong grasp on technology… self-motivated, attentive to details."

— Carolyn S.

"There is such a large market that would benefit from your content."

— Johnny N.

From readers of The Routine Trader and professional collaborators

The Cohort

12 seats.
Small on purpose.

This is a hands-on implementation cohort. Twelve people. Real workflows. Live help every business day. Join when you need a decision, a fix, or a shove across the line.

12
Total Spots
$10K
3-Month Program
July 7
Starts July 7

$2,500 deposit holds your seat. If we move forward with the July 7 cohort, we invoice the remaining $7,500, due by June 23, 2026. If we do not move forward by June 23, your deposit is refunded in full.

Add-On

Done-for-you implementation - $2,500

We deploy the entire stack ourselves - configured, tested, running in your environment. Pair it with the cohort: $12,500 total, zero heavy lifting on your end.

Add Done-for-You Implementation — $2,500
Apply

Your AI setup is leaking time
you'll never get back.

Twelve people. Ninety days. One cohort that replaces the duct tape permanently. Starts July 7.

Something went wrong. Email mastro@badmutt.com directly.
Prefer to skip the application? Pay the $2,500 deposit directly →

Application received. We'll be in touch within 48 hours.

"We train your AI to fetch more time."
- Mastro, Badmutt
Questions

Before you ask.

What's the time commitment?
The Daily Build Room runs every business day for 45–60 minutes. You do not need to attend every session. Join when you have a workflow to fix, a decision to make, or a blocker to clear.
Do I need to be technical?
You need to be using AI already. You don't need to write code. If you can describe what you want your tools to do, we can architect and build the system. The optional Done-for-You Implementation add-on handles all technical deployment.
What AI tools do you support?
We work across ChatGPT, Claude, Copilot, Gemini, Zapier, Make, API integrations, and custom setups. The goal is the right system, not vendor loyalty.
What happens after the 3 months?
You own everything we build. The system runs independently. You'll know how to maintain and extend it yourself. Founding members also get priority access to future programs and tools.
Is the deposit refundable?
If we do not move forward with the July 7 cohort by June 23, your deposit is refunded in full. Once the cohort kicks off, the deposit is non-refundable.
What if I want done-for-you implementation?
Add the Done-for-You Implementation ($2,500) at any point before or during the program. We'll handle the technical deployment — configuration, testing, and handoff. Total with cohort: $12,500.