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How AI Works
A plain-English explanation of what happens when a user sends a prompt and receives a response.
Open guideLearn
Plain-English technical guides for software and AI decisions.
These pages are for business owners, operators, and software teams that need enough technical understanding to make better decisions. The goal is not jargon. The goal is clear ownership, safer AI workflows, and fewer expensive surprises.
Recommended Path
Start with the simple explanation, then go deeper only where it helps.
Deeper technical view
AI Pipeline Breakdown
A full walkthrough of the AI pipeline from request intake, tokens, attention, sampling, safety checks, and streaming.
Open guideModel strategy
AI Model Size Guide
A practical guide to large models, small models, deployment constraints, training tradeoffs, and hybrid AI systems.
Open guideMore Resources
Use these when the decision moves from curiosity to implementation.
The education pages support the main HerbDev offer. They help a visitor understand the work before asking for rescue, AI consulting, or maintenance ownership.
AI Agent Patterns
Common agent architectures for intake, retrieval, planning, scheduling, decision support, and human approvals.
AI-Native Engineering
How AI-assisted engineering changes context, specification, verification, team structure, and ownership.
App Revenue Calculator
Estimate subscription app revenue across subscriber counts, monthly pricing, yearly pricing, and platform fees.
HerbDev Perspective
Learning should make the next decision easier.
If a project is already stalled, unstable, or difficult to release, education is useful only when it leads to clearer ownership. The fastest path is usually a technical triage, a short list of blockers, and a practical rescue plan.