Who we are, and what we're building
Constraint is built by operators who kept watching great AI methods walk out the door. The problem we solve, what we offer, and how we work.
6 min readField notes on making AI a team habit.
Proof, announcements, and a point of view for teams putting AI to work.
More field notes.
Short, practical writing on shaping recurring work into shared playbooks, putting review where it matters, and improving across versions.
Why we start by sitting next to you
You cannot learn a workflow from its documentation. Our discovery starts at the desk of the person who owns the work.
5 min readDefine what good looks like (before you scale AI work)
AI scales whatever you point it at, including mess. Teams that win write down what good looks like and check against it.
5 min readBuilt on the stack you already use: agents, skills, and MCP
Constraint is not an alternative to skills or another agent framework. It is the layer on top that makes repeatable work run, get reviewed, and improve.
6 min readShadow AI is already in your company. Can you see it?
Banning AI tools backfires. The real risk is not the tool, it is the missing record. How to get oversight of AI work without slowing your team.
5 min readHow to make your first AI workflow repeatable
The fastest way to make AI-assisted work repeatable is not a broad adoption program. It is one recurring AI-assisted workflow with a clear owner and review gate.
4 min readInside a working playbook
Steps, context, gates, records, versions. What each part does, and why the combination makes AI work repeatable.
5 min readConstraint vs. your AI tool: what sits where
Constraint focuses on the shared playbook layer around recurring AI-assisted work. The AI tool remains separate.
5 min readPlaybooks and skills: the two ways teams actually reuse AI know-how
Reusable AI know-how comes in two shapes: playbooks are process, skills are capability. Why a skill is not an SOP, and how they compound together.
5 min readYour best AI work is trapped in one chat history
Most teams' AI ability lives in one person's head. More tools will not fix it. A shared method makes AI a team capability.
5 min readA launch memo that gets better every time
A launch memo is a useful example of recurring AI-assisted work that improves when the team carries learning forward.
4 min readStart with one workflow.
Bring one workflow your team repeats, and we’ll turn it into a shared, reviewable playbook.