Context-Packs: Teach Your AI Your Standards

William Warne

Software Engineer | Fractional CTO | Founder

Introduction

AI coding assistants are powerful—but without standards, every conversation produces different structures, formats, and approaches. You spend time fixing AI output instead of building features. We built Context-Packs to fix that: ready-to-use knowledge packages that teach your AI tools your engineering standards.

The Problem: Inconsistent AI Output

When there are no shared standards, Cursor and Claude have nothing to anchor on. You get random code, documentation, and designs that don't match your team's practices. Fixing AI mistakes becomes the norm. Many teams don't need more AI—they need AI that follows their rules from day one.

The Solution: Packs That Teach Your AI

Context-Packs are pre-built standards packages for common engineering practices. Install a pack, and your AI automatically follows your rules, generates consistent output, and enforces your standards in every conversation. No configuration files to maintain—it works immediately after installation.

What you get:

  • Methodology files your AI can reference
  • Enforceable rules that guide AI behaviour
  • Specialised skills for structured workflows (e.g. documentation, domain discovery)
  • Templates and examples where relevant
  • Installation in minutes

How it works: Install a pack. Run one compile step so your AI has the methodology. From then on, when you ask AI to create docs, code, or designs, it follows your standards. You get consistent, professional output every time.

Modular: Get Only What You Need

Packs are modular. You can start with the Documentation Management Pack (rules, methodology, doc structure, traceability) and add others as you need them—system design, API design, frontend architecture, and more. Each pack integrates with Cursor and Claude so your AI stays aligned with your practices.

Who It's For

Developers and teams using AI coding assistants who want consistent, standards-compliant output without manually fixing AI mistakes. Solo founders and small teams get the same structure that larger teams rely on—without the overhead.

Conclusion

Stop fixing AI output. Start with AI that follows your standards from day one. Install a pack, run compile, and let your AI do the work the way your team works.

Get the pack. Try the CLI.