learn · build · keep

Build bettersystems with AI.

Practical builds, experiments and tools for developers working with AI agents.

For when:

  • you feel you can't solve the problem, even with the best models.
  • you want to start your one-person business and feel you need to understand the whole technical side.
  • you want to truly understand better strategies to control your tokens and solve problems in a structured way.

you describe it · your agent draws it · in your components

4 open right now · free

Learn to build what finishes the work,not what fills the repository.

Agents already write a lot of code. More code is not a finished product. Each build is one concrete thing you do in your own repository: tell the agent what the project is, keep it consistent, see what it actually spent.

4 free in this view
Being written
  • Claude Code vs Codex on the same repositorySame project, same task, two agents, and what each one needed to be told.
  • One prompt vs structured contextThe same feature asked twice: in a paragraph, and with the project described first.
why this exists

I thought I needed better models.

Sometimes I did. More often, I needed a better system around them.

I have been writing software for over 15 years. When I started building with agents, the code was never the hard part. The hard part was the project growing faster than I could hold it in my head, and the problems that only show up a few weeks in, when a better prompt no longer helps and what you need is a strategy.

I also had no idea where the context and the tokens were going, or whether any of it was turning into something real. So I kept testing. New models, longer prompts, other workflows. Some things got better on their own. Most didn't.

What finally worked was changing what sits around the model: how the project remembers its decisions and its standards from one session to the next. CodeLevel is that, written down so you don't have to find it the long way.

Claude Code usage stats in a terminal: 620 sessions, 77.4 billion total tokens, 147 active days out of 159, a 108-day streak, favourite model Opus 5.
620 sessions, 147 days. A lot of it tested, rebuilt and thrown away before it worked on a problem that was actually hard.
keep

A build teaches it once.A tool keeps doing it.

Pulse and Align are what the builds leave running, on your machine, in the agents you already use. One command to install, no account.

How the tools work
  • PulseSee what your agent is doing.
  • AlignOne product. One language.

What your agents knowbefore they answer anything.

Write it down once and both agents read it. This is the page you get inside, and it starts mostly empty: every build you finish fills a line, so the next session does not start from zero. Learning here is not a certificate. What you finish stays in the project, in the file the next agent opens.

Claude Code
handoff prepared
Project context
ready

Configured · 4 sections

Architecture
ready

Written down once, read by both agents

Decisions
missing

Nothing recorded, so every agent re-litigates what you already chose

Standards
missing

Nothing written down, so each agent brings its own

Codex
context retrieved

Every agent.The same project.

Start with the free builds