Input
A founder's playbook
Becomes
An agent that guides idea validation, MVP definition, and launch reviews.
ProcessesExit criteriaDecision checks
Coming soon · Open source
An agent that
learns from
practice.
A methodology runtime that improves through real work.
Your methods guide the work. Practice reveals new knowledge. You review what Airic discovers, learn from it, and decide which lessons should guide the next task.
01 · Onboard with knowledge
A methodology book
Team handbook
Project playbook
↓
AIRIC
↓
Procedures
Standards
Checklists
Decision boundaries
02 · Learn through practice
01↓
Real work
02↓
Discover new knowledge
03↓
Share and review
04
Improved method
01 · Methodology runtime
Put your methodology to work.
A methodology runtime makes your principles, procedures, quality criteria, and decision boundaries available where work happens. Airic runs your method as an operating model, then brings discoveries from practice back into it through reflection and your review.
Input
Architecture docs and team standards
Becomes
An agent that follows your design principles, review standards, and release process.
StandardsTool guidanceEscalation rules
Input
A research or writing methodology
Becomes
An agent that applies the method, checks the work, and protects its reasoning structure.
Evidence rulesReview processQuality criteria
Your knowledge guides the work.
The work deepens your knowledge.
02 · Learning from practice
The second time should be different.
After meaningful work, reflection examines what the task revealed: hidden constraints, missing guidance, useful discoveries, and assumptions worth revisiting. Airic explains the lesson and proposes a scoped improvement. Review brings the knowledge back to you and determines what becomes part of the method you or your team will use next.
01
Design together
You
Let’s design how project-level experience should accumulate in Airic.
Airic
We should first separate two kinds of learning:
1. Reusing human judgment
2. Compressing exploratory experience
They may require different behavioral artifacts and different review criteria.
Product design session completed
/reflect method↓
02
Reflect on the method
/reflect method
Lens: Method effectivenessTarget: Current session
Reflection
The discussion reached the right distinction, but only after exploring implementation details. The current product-design skill does not require the conceptual boundary to be established before solution design begins.
product-design.md diff
+ Before comparing implementation options,+ identify the conceptual distinctions that determine+ whether the options solve the same problem.++ Keep mechanism design subordinate to the product+ concept being established.
Review diffAcceptReject
Understand the lesson. Review its scope. Decide what to adopt.
accepted update↓
03
Inherit the improvement
You
Let’s design how Airic should support multiple specialized roles.
Airic
Before designing roles or orchestration, we should distinguish two separate needs:
1. Dividing responsibility
2. Isolating context and accumulated experience
If the real requirement is context isolation, multiple roles may be only one possible mechanism.
Improved product-design method applied
A better method. A better-informed you.
Both carry the learning into the next task.
Reflect on the work. Improve the method. Inherit the change.
03 · Mechanism
A stronger learning loop.
The methodology runtime connects execution and learning: use what you know, discover what practice teaches, and review how the method should change.
What is a methodology runtime?
It makes your methods operative during a task: how to frame the problem, what steps and checks matter, and which decisions need your judgment. Airic also closes the loop from execution back to the method, so discoveries from practice can become reviewed guidance for later work.
How does Airic learn?
Real work produces an experience trace. Airic reflects on the trace, identifies a reusable lesson, attributes it to the right part of the operating model, and proposes a concrete behavior update. Airic explains what it discovered so you can learn from it and contribute your own context. You decide whether the update should be accepted, edited, limited in scope, or rejected.
How is this different from memory?
Memory preserves facts, preferences, and past events. Airic changes procedures, standards, checks, tool instructions, precedents, and decision boundaries that actively govern future behavior.
How is this different from skills?
A skill is a reusable method. Airic provides the lifecycle through which methods can be created from knowledge, tested in real work, corrected through reflection, reviewed by a human, and improved over time.
How is this different from autonomous learning agents?
Airic does not silently generate memories or rewrite its behavior. Every persistent lesson is explicit, scoped, and reviewable. The agent may propose what it learned, but you decide what gains authority over future work.
Put your methods to work.
Learn from what happens.
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