DP

DepthPilot AI

System-Level Learning

Roadmap

Roadmap

The roadmap is not a pile of topics. It follows real AI system capability: understand constraints, design context, then build evaluation and iteration loops.

01

Stage 01 · Mindset

Build budget awareness and system perspective before you optimize anything.

Token Budgeting for Serious AI Work

Token budgeting is not a billing detail. It is the first hard constraint on any AI system.

18 minFree

Reviewed lesson

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02

Stage 02 · Systems

Learn to design context, flow, and state instead of depending on one giant instruction.

Context Architecture Instead of Giant Prompts

Context management is not about stuffing more text into a prompt. It is about designing how information enters and leaves the model.

22 minPremium

Reviewed lesson

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03

Stage 03 · Evaluation

Build a practical evaluation loop so system improvement stops depending on vibes.

Designing Eval Loops That Actually Improve the System

Without eval loops, an AI product is mostly random trial and error.

20 minPremium

Reviewed lesson

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Next Expansion

Guided build lessons

The roadmap does not stop at concept lessons. Guided builds turn real tool setup, verification, and troubleshooting into checklists so learners can actually ship something.

Delivery · 45-60 min

Live

OpenClaw from Zero to Running

Get OpenClaw running step by step with real validation instead of guessing.

Open tutorial

Delivery · 50 min

Live

Supabase Auth in Production Practice

Build the full chain from database and auth to live page state.

Open tutorial

Delivery · 55 min

Live

Creem Billing End-to-End Practice

Run checkout, webhook, customer portal, and in-app entitlement as one chain.

Open tutorial
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AI Learning Roadmap for Prompt Engineering, Context Architecture, and Evals | DepthPilot AI