Now Open — The Pit + The Wire

man's best
bot.

Your AI workflows are broken. You know it. Something's leaking time, something's not connecting, something forgets everything the second you close the tab. You don't need a course. You need a mechanic.

Badmutt runs daily group debugging calls. Bring your broken workflows, get them fixed live. We teach you to prompt like a telegram so you can train your AI to fetch more time.

Your AI should run like a Chief of Staff. Right now it runs like a temp.

Join The Pit From $300 every 2 weeks · Daily calls · Cancel anytime after 3 months
The Problem

You're writing essays.
Your AI needs telegrams.

Every time you open ChatGPT, you write three paragraphs of context. You explain the background. You add caveats. You paste in a whole document and say "summarize this and also could you maybe help me think about next steps."

Your AI reads all of it and gives you six hedged paragraphs back. Then you close the tab and do it again tomorrow - from scratch.

You're not getting bad output because the model is bad. You're getting bad output because nobody taught you how to talk to it. Prompt like a telegram. Tight. Specific. One ask, one output, no padding.

Every bloated prompt, every re-explained context, every session that starts from zero - that's token slippage. Same concept as price slippage in a trade: the gap between what you should have spent and what you actually burned. You don't see it on an invoice. You see it in the hours you're not getting back.

Prompting like a telegram fixes the skill problem. But knowing the fix and actually implementing it are two different things — especially when your stack breaks in ways you didn't expect. That's why Badmutt runs daily debugging calls. You bring the problem, we fix it live, and you learn the pattern so it doesn't break again.

Sample Findings

What we find when we
look under the hood.

These are real patterns from Mastro's own workflow audit - the same process every cohort member goes through in Week 1.

Finding #1 - Re-prompting Loop
⚠ Critical High confidence

42 minutes/day spent re-prompting.

Mastro's workflow audit Time impact: High

Same questions, different tabs, no memory between sessions. The AI starts from zero every time because there's no persistent context layer.

✓ Fix

Persistent memory layer - session summaries and preference files that carry forward automatically. The AI knows your patterns by week 2.

Analyzed by Badmutt Source: workflow audit · Confidence: High
Finding #2 - Tool Sprawl
⚠ Critical High confidence

3 tools doing 1 job.

Mastro's workflow audit Time impact: High

A notes app, a task manager, and a chatbot - all holding pieces of the same workflow, none of them talking to each other. Consolidation to a single agent chain cut the loop from 25 minutes to 4.

✓ Fix

One agent chain with shared context. Every tool has one job. You stop being the middleware.

Analyzed by Badmutt Source: workflow audit · Confidence: High
Finding #3 - Token Slippage
⚠ Critical High confidence

Prompt length averaging 280 words when 40 would do.

Mastro's workflow audit Time impact: High

Over-explaining is the most common pattern and the biggest source of token slippage. Tighter prompts produced better output in every test - not sometimes, every time. The telegram rule applies: if you wouldn't pay per word to send it, your AI doesn't need it either.

✓ Fix

Prompt like a telegram. Tight. Specific. One ask, one output, no padding.

Analyzed by Badmutt Source: workflow audit · Confidence: High
Finding #4 - Manual Recurring Work
⚠ Critical High confidence

Zero automation on recurring tasks.

Mastro's workflow audit Time impact: High

Daily briefings, meeting prep, follow-up emails - all done manually despite being identical in structure every time. Each one is a cron job waiting to happen.

✓ Fix

Automated scheduled jobs. If it happens on a schedule and follows a pattern, it should run without you.

Analyzed by Badmutt Source: workflow audit · Confidence: High

These are the bugs we fix every day in The Pit. You'll hear yours — and everyone else's. The patterns compound.

Proof of Concept

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

Mastro 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 one Garrett uses to debug your workflows live — every day, in The Pit.

How It Works

The daily loop.

Step 1 — The survey goes out

Before every call, Garrett sends a quick survey: what's broken, what's stuck, what do you need fixed? Sophia compiles the responses and ranks by frequency. The most common problems get solved first.

Step 2 — The Pit call

Daily group call via Telegram. Garrett works through the survey results live — debugging workflows, fixing broken prompts, solving integration problems, eliminating token slippage. You watch your problem get fixed and learn from everyone else's.

Step 3 — Sophia compiles the patterns

Every debugging session gets distilled. What broke, why, and what fixed it — across the entire room. Wire members get this daily distillation as compiled intelligence. The Pit gets smarter every day because every bug makes the database deeper.

Step 4 — You come back when it breaks again

Cancel anytime after 3 months. Resubscribe with one tap when something new breaks or a model update wrecks your workflow. No onboarding friction. No "welcome back" sequence. Card on file, you're in.

Two Tiers

Two ways in.

The Pit

$300 every 2 weeks
  • Daily group debugging calls via Telegram
  • Survey-driven triage — most common issues fixed first
  • Live fixes for broken AI workflows
  • Cross-cohort pattern intelligence
  • One-tap cancel and resubscribe anytime
  • 3-month minimum commitment
Join The Pit →

The Wire

$1,300 every 2 weeks
  • Everything in The Pit included
  • Daily distillation from every debugging session
  • Cross-cohort pattern intelligence — what's breaking and working across the room
  • Guaranteed weekly hot seat — your workflow dissected live by Mastro
  • Private Telegram channel — Wire members only
  • 3-month minimum commitment
Join The Wire →

The 3-month commitment exists because debugging compounds. The first month you're fixing what's broken. The second month you're building what's missing. The third month you stop breaking things. After that, it's month-to-month — and when you leave, you can come back with one tap.

Fit Check

Who this is for:

This is for you if
  • Your AI workflows are held together with tape and you know it
  • You're losing hours to broken prompts, tool sprawl, and systems that forget everything
  • You want someone to fix it with you live, not hand you a course to watch
  • You'd rather show up with a problem and leave with a fix than sit through a curriculum
  • You want the patterns from what's breaking for everyone, not just yourself
This is not for you if
  • You want a course you can watch at 2x and forget
  • You think buying a tool is the same as fixing a workflow
  • You're not willing to show up with your actual problems
  • You need enterprise-scale AI infrastructure (that's a different engagement)
Who's Behind This
Mastro
Mastro
Founder, Badmutt

Full-time SPX 0DTE options trader. 22-strategy system. 15 consecutive profitable quarters. Trading fully automated via Option Omega + tastytrade.

He didn't come to AI from tech. He came from checklists. The same systematic, process-driven methodology that built a consistently profitable trading system is the one he applied to AI - and the one he teaches in this program. DEVISE framework. Checklist Manifesto philosophy. Routine over intuition. Systems over inspiration.

Runs The Routine Trader newsletter. Built his entire AI agent stack from scratch on OpenClaw. Writer at heart. ENTJ-A. Faith-centered.

Man's best bot isn't a gimmick. It's the thesis.

mastro@badmutt.com Telegram: @gjmastro
The Category Is Catching On

The Chief of Staff
unlock.

"omg @openclaw is sooooo good at being a Chief of Staff. What huge unlock for founders (and everyone)! It's taken me 2 weeks to refine my setup and now it's working like a dream. Biz dev, calendar management, research, task management, brainstorming and more"

- Ryan Carson, founder of Treehouse (acquired). 930K views. Unsolicited.

Ryan's a technical founder and it took him two weeks of daily refinement to get his AI stack working.

Badmutt exists because most people don't have two weeks — or the technical instinct to debug it alone. The Pit is where you bring what's broken and leave with what works.

The Numbers

What's inside.

A daily debugging service for AI operators. Show up when something's broken, leave with it working. The longer you stay, the fewer things break.

Daily
Debugging calls via Telegram
$300
/2 weeks — The Pit
$1,300
/2 weeks — The Wire

The Pit includes:

The Wire adds:

Apply

Join The Pit.
Or The Wire.

Prompt like a telegram. Train your AI to fetch more time.

Something went wrong. Email mastro@badmutt.com directly.
Prefer to skip the application? Join The Pit directly → | Join The Wire 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 happens on the daily call?
Garrett sends a pre-call survey to see what's broken across the room. Sophia ranks by frequency. On the call, Garrett works through the most common issues live — debugging workflows, fixing prompts, solving integration problems. You watch yours get fixed and learn from everyone else's.
What if my problem doesn't make the survey?
The survey ranks by frequency, but Garrett rotates through everyone. If your issue is unique, that's often more interesting to the room than the common ones. You won't get skipped.
What's the time commitment?
The call is 45–60 minutes. Show up when you have a problem. You don't need to attend every single day — but the people who show up consistently break less.
What's the difference between The Pit and The Wire?
The Pit is the daily debugging call — survey, live fixes, cross-cohort patterns. The Wire adds the daily distillation (Sophia compiles every session into pattern intelligence), a guaranteed weekly hot seat where your workflow gets dissected live by Mastro, and a private Telegram channel with Wire members only.
What if I cancel and want to come back?
One tap. Card on file, you're back in. No reapplication, no onboarding sequence, no "welcome back" email chain. Like resubscribing to a Substack.
What's the 3-month minimum?
Debugging compounds. The first month you're fixing what's broken. The second month you're building what's missing. The third month you stop breaking things. After that, month-to-month.
Is this just a Telegram group?
No. Telegram groups don't have a curator surveying every member daily, ranking the bugs, and fixing them live on a call. This is a debugging service with compiled intelligence, not a chat room.
What tools/models does this work with?
Whatever you're using. Claude, GPT, local models, Copilot, no-code tools — doesn't matter. The Pit is tool-agnostic. The bug is the bug regardless of the model.
What does "prompt like a telegram" mean?
Most people write 200-word prompts when 30 words would get a better result. A telegram costs per word, so you'd write tight — subject, action, constraint, done. AI responds better to the same discipline. Less input, better output. We call the waste "token slippage" — every unnecessary word degrades your output and costs you time. Prompting like a telegram eliminates the slippage.
What does "token slippage" mean?
Same concept as price slippage in a trade — the gap between what you should have spent and what you actually burned. In AI, it's every wasted token from bloated prompts, redundant context, and sessions that start from zero. You don't see it on an invoice. You see it in the hours you're not getting back.