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Your Role as an AI Architect

This page explains exactly what your job is, what you'll do every day, and what skills you're building. Read it carefully -- this is the foundation for everything that follows.

What is an AI Architect?

An AI Architect does not write code. You instruct AI to write code for you. You tell it what to build, you review what it produces, and you make decisions about what to do next.

Think of it like being a movie director. A director doesn't act in front of the camera. A director doesn't operate the camera either. But the director decides what the movie looks like -- the story, the shots, the pacing. The film crew does the technical work. In your case, Claude Code is your film crew. You direct, it executes.

Your team lead was a programmer. He spent years writing code by hand. Then he stopped coding and became an architect -- he now tells AI what to build instead of building it himself. You're learning to do the same thing, starting from scratch, with these training materials guiding you step by step.

Key insight: You don't need to understand how code works internally. You need to understand what code does -- what problem it solves, what inputs it takes, what outputs it produces. Claude Code handles the rest.

What You'll Do Every Day

Here's a typical workday. It's a rhythm you'll develop over time -- don't worry about memorizing it now. The tools will guide you.

Time	Activity	Tool
Morning	Check systems are running, review alerts	Agent Deck → Nexus
Mid-morning	Research subnets -- which ones are profitable? Which ones are dying?	Nexus Intelligence
Afternoon	Deep dive -- clone a subnet repo, analyze how it works, understand scoring	Agent Deck → Claude Code + GSD
End of day	Write up findings, make MINE / SKIP / WATCH recommendations	Claude Code

Don't panic: You won't know how to do all of this on day one. Each tool has its own guide later in this training. This table just shows you the big picture of where you're headed.

The Skills You're Building

Every tool in this training teaches you a specific skill. Here's the map:

Reading data -- Nexus teaches you to interpret subnet metrics: emissions, registrations, profitability. You'll learn to look at numbers and understand what they mean.
Giving instructions to AI -- Prompt Building teaches you to communicate clearly with Claude. Better instructions = better results. This is the single most important skill.
Managing projects -- GSD teaches you to break work into phases. Instead of tackling a huge problem all at once, you learn to split it into small, manageable steps.
Analyzing code without coding -- Claude Code reads and explains code FOR you. You ask "what does this file do?" and it tells you. You don't need to read Python or JavaScript yourself.
Making decisions -- All tools together help you decide where the team should mine. You gather data, analyze subnets, and produce clear recommendations.

What the Team Expects

Here's what success looks like in this role:

You help cover more ground -- More subnets analyzed, more opportunities found. One person can't research 40+ subnets alone. You multiply the team's reach.
You can work independently -- Check systems, find problems, report findings without needing to be told what to do every time.
You learn by doing -- Nobody expects you to know everything on day one. You'll make mistakes. That's normal and expected.
Ask Claude Code when you don't understand something -- That's literally what the tool is for. It's your always-available teacher. Use it constantly.
You earn 10% of the mining earnings -- Your work directly contributes to mining revenue. Better analysis = better mining decisions = more earnings for everyone.

The learning curve: The first week will feel overwhelming. By the second week, you'll have a routine. By the end of the first month, you'll wonder why you ever thought it was hard. Every expert started exactly where you are now.

The Big Picture

Bittensor is a competitive market. Think of it like a stock market, but for AI services. Here's what you need to understand:

Subnets change daily -- What was profitable yesterday might not be profitable tomorrow. New subnets appear, old ones die. The landscape shifts constantly.
Some subnets become very profitable, others die -- Picking the right subnet to mine on is like picking the right stock to invest in. Research matters.
The advantage goes to miners who MOVE FAST -- Finding opportunities before other miners find them is the key to earning more. Speed of analysis is critical.
Your role: be the intelligence layer -- You spot opportunities and analyze them quickly so the team can act on them before competitors do.
With Claude Code + GSD + Nexus, you can do in hours what would take a programmer days -- These tools are your unfair advantage. A traditional analyst would need to read code manually, run scripts, parse data by hand. You have AI doing all of that for you.

What You DON'T Need to Know

This is just as important as knowing what you do need to know. Don't waste time learning things outside your role:

You need to know	You DON'T need to know
How to use Agent Deck	How Linux works internally
How to give clear prompts to Claude	How to write Python code
How to read Nexus data	How blockchain cryptography works
How to follow the GSD workflow	How to configure servers
What subnet metrics mean	How neural networks are built

When you're stuck: Ask Claude Code. Say: "Explain [thing] to me as if I have no technical background." Claude will always help. There is no such thing as a stupid question when you're talking to AI -- it never judges, it never gets tired, and it will explain the same thing 100 times if you need it to.

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