You've got ChatGPT, Claude, Copilot - maybe all three plus whatever dropped last week. You built the automations. You wired the agents. And you're still losing 10+ hours a week to tool switching, broken chains, and AI that forgets everything the second you close the tab.
You're not short on tools. You're short on time. We fix that.
You've spent real money on AI. ChatGPT Pro, Claude, Copilot - maybe custom agents and API chains on top. And it mostly works. But 'mostly' is doing a lot of heavy lifting in that sentence. You're still the glue holding it all together.
The AI was supposed to give you time back. Instead it became another thing on your plate.
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.
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.
No memory. No preferences. No compounding value. Every conversation starts cold. Your AI is brilliant for 20 minutes, then forgets it ever knew you.
Ten minutes here, twenty there, all week. You were promised leverage. You got a second job. That's where the 10+ hours go.
One finding, out of typically 8-15 per audit. This one alone was eating 6+ hours a week.
Email drafts, scheduling, data lookups, and strategic analysis were all routed through the same premium model. Simple tasks that should complete in under 2 seconds were waiting 8-15 seconds. The latency compounds into constant context-switching - you start something else while waiting, then get pulled back. Six hours a week, gone.
# Current - everything takes the slow path
"workflows": {
"email": "premium-model", # ← 12s for a draft
"calendar": "premium-model", # ← 8s to parse a date
"research": "premium-model", # ← wrong tool entirely
"analysis": "premium-model" # ← only task that needs it
}
# Fixed - right tool for the right job
"workflows": {
"email": "fast-model", # ← 2s, same quality
"calendar": "fast-model", # ← instant
"research": "search-native", # ← built for this
"analysis": "premium-model" # ← reserved for deep work
}
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.
Route tasks by complexity. Fast models for routine work, premium for strategic analysis only. Add persistent memory so context carries forward. Estimated time saved: 6-8 hours/week. Implementation: one afternoon.
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.
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.
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.
We map the tools, prompts, automations, and handoffs you rely on and find the time leaks. Most people discover 2–3 tools they’re paying for and barely using.
We decide what stays, what goes, and what each tool is actually for. Fewer tools. Clear roles. Shared context.
We add the missing memory, routing, and workflow logic so the system works as one thing. Implemented with you in your real workflow — not as a deck.
Your AI learns your patterns, your preferences, your domain. And you learn how to maintain and extend it yourself. No dependency on us after the 90 days.
We track hours recovered, tasks removed, and failure points eliminated. If it didn’t change your week, it doesn’t count.
I spent years building automated trading systems - entries, exits, risk management, all running without me. Then I applied the same discipline to AI workflows and realized most people are doing it wrong: too many tools, no memory, no routing, no system. Just expensive chaos. After fixing my own AI chaos and getting 10+ hours a week back, I built Bad Mutt to do the same for others. Smart people shouldn't waste their time on solved problems.
mastro@badmutt.comThis isn't a course you watch alone on 1.5x speed. It's a working group - twelve people solving the exact same problem in real time. Show up when you need it. The room is always open.
$2,500 reserves your seat today. Remaining $7,500 due June 23. If minimum enrollment isn't met, deposits are refunded in full. No risk.
Don't want to build it yourself? We deploy your AI agent stack for you - configured, tested, and running in your environment. Cohort + done-for-you: $12,500 total.
Add Agent Setup - $2,500A $10K cohort that fixes it permanently is cheaper than another year of whack-a-mole. Twelve people. One cohort. July 7.
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