Whether you want to understand what the results mean, or talk through what implementation actually looks like — just reach out. We're happy to help.
Install the AI Literacy Superpowers skill via Claude Code or GitHub Copilot. Run the assessment command against any software repository - existing projects included.
The assessment reads your codebase across five dimensions: context files, conventions, architectural guidance, guardrails, and agent readiness. It maps what you have against what each level requires. Everything runs locally - no source code, no scan results, and no repository data ever leaves your machine.
Your team is placed on the five-level scale - from Dictating to Supervising. You get a prioritised improvement plan: a ranked list of what to address first to reach the next level and unlock real AI productivity gains.
Level 1 = Dictating · Level 5 = Supervising
1
Every task starts fresh. You type the instructions, you carry the context, and the results swing with how well you explained it.
2
You instruct more precisely and check what comes back. Tests, reviews, and judgment catch the mistakes before they ship.
3
The environment carries the rules. Conventions and guardrails live in the repo, working whether you're watching or not.
4
Specifications do the coordinating. The same intent, written down once, drives consistent work across agents - and across time.
5
AI capability is built into how the organisation works. New engineers inherit it, the system improves itself, and your job is shaping how it scales.
The assessment doesn't just tell you where you are - it shows you exactly what to do next.
A clear placement on the five-level scale - from Dictating to Supervising - with a breakdown across each dimension: context, conventions, architectural guidance, guardrails, and agent readiness.
A ranked list of what to build first - ordered by what your team needs to develop and what your organisation needs to provide to reach the next level.
We embed with engineering teams to implement the recommendations, close the gaps, and build the practices that make AI a genuine multiplier - not a debt accelerator.