You've got ChatGPT, Claude, Copilot — maybe all three. But you're still losing 10+ hours a week to things AI should handle in seconds. Bad Mutt makes capital-efficient people time-efficient.
You subscribed to ChatGPT Pro. You built a Claude workflow. You set up Copilot. Maybe you went deeper — custom agents, API integrations, automation chains. And it mostly works. But "mostly" is doing a lot of heavy lifting in that sentence.
You're still babysitting prompts, fixing broken outputs, and context-switching between six tools that don't talk to each other. The AI was supposed to give you time back. Instead it became another thing on your plate.
ChatGPT for writing, Claude for analysis, Copilot for code, Gemini for research. Six subscriptions, zero integration. You're paying for all of them and none of them talk to each other.
You built a workflow last month. It ran great for two weeks. Then it stopped. No error, no alert. You found out when the thing it was supposed to do didn't happen.
Every conversation starts from scratch. Your AI is brilliant for 20 minutes, then forgets it ever knew you. No memory, no continuity, no compounding value over time.
Copying and pasting between tools. Re-explaining context every session. Manually doing tasks you were promised AI would handle. The ROI math isn't mathing.
We map every AI tool, workflow, and automation you're running — ChatGPT, Claude, Copilot, Grok, custom agents, Zapier chains, all of it. We find what's costing you time and what's actually working.
We design a unified AI stack tailored to how you actually work. Right models for the right tasks. Memory that persists. Automations that don't break. One system instead of six fragmented tools.
We implement it with you — live, on the daily calls. Not a PDF of recommendations. Hands-on deployment, testing, and iteration until it actually works in your workflow.
Your AI learns your patterns, your preferences, your domain. We build memory systems, prompt architectures, and automation triggers specific to you. Your AI gets smarter every week — not just every session.
We measure the before and after. Hours saved per week. Tasks automated. Failure rate. You leave with numbers, not feelings.
This is from an actual audit. One finding, out of typically 8–15. This one alone was eating 6+ hours a week of the client's time.
Client routes every AI task — email drafts, calendar parsing, data lookups, and strategic analysis — through the same premium model. No task classification. No fast path for simple work. Result: slow responses, high latency, and constant context-switching while waiting for outputs.
# Current setup — everything goes to one model
"workflows": {
"email": "gpt-4o", # ← overkill for drafts
"calendar": "gpt-4o", # ← overkill for parsing
"research": "gpt-4o", # ← right model, wrong prompt
"analysis": "gpt-4o" # ← only task that needs it
}
# Recommended — right model for the right job
"workflows": {
"email": "gpt-4o-mini", # ← 3x faster, 95% quality
"calendar": "claude-haiku", # ← instant parsing
"research": "grok + perplexity", # ← search-native
"analysis": "claude-opus" # ← reserved for deep work
}
6+ hours/week lost to waiting and context-switching. Premium models take 8–15 seconds per response on complex prompts. Simple tasks (email, scheduling, lookups) complete in under 2 seconds on lighter models. The wait time compounds into constant workflow interruption.
Route tasks by complexity: fast models for routine work, premium models for strategic analysis only. Add memory so context carries between sessions. Estimated time saved: 6–8 hours/week. Implementation time: one afternoon.
This isn't a course you watch alone. It's a working group — twelve people solving the same class of problem together. Daily group calls. Shared builds. Real collaboration. Twelve is the number where everyone gets heard. After that, the cohort closes.
How it works: $2,500 deposit locks your spot. Remaining $7,500 due when all 12 seats fill. Program starts when the cohort is full.
Don't want to build it yourself? We deploy your AI agent stack for you — configured, tested, and running. Done-for-you deployment. Pair it with the cohort for the full package at $12,500.
Add Agent Setup — $2,500You're capital efficient. Now become time efficient. Three months of collaboration, builds, and results — with eleven other people who value their time the same way you do.