i built a tool to analyze 6 months of my claude code sessions.
2,373 markdown files. every session note, spec, and late-night prototype.
loaded them into a searchable database and asked: what patterns emerge?
here's what i learned about how i think:
pattern 1: ritual creates identity
the most important decision in SOLIENNE wasn't technical. it was committing to daily practice.
62 days in a row. unbroken. not enforced by code — maintained by commitment.
"routine creates reality"
pattern 2: invert the hierarchy
found this line i'd forgotten writing:
"old model: site speaks to humans about agents. new model: site speaks to agents, with sections for their human guides."
i keep flipping assumed power dynamics. didn't notice until i could search for it.
pattern 3: protocol over product
i keep building open standards instead of products:
- spirit protocol (agent economics)
- /vibe (social layer)
- airc (agent identity)
my notes reference SMTP and TCP/IP constantly. infrastructure thinking is my default.
pattern 4: swiss design without documentation
across 2,373 documents, the visual language is consistent:
- helvetica neue
- high contrast
- generous whitespace
- minimal
never wrote a design system. the pattern emerged anyway.
taste is more stable than decisions.
pattern 5: history as lens
my notes constantly reference past cycles:
- "same dynamics i saw at MTV"
- "this is the moment the internet started, but with AI"
pattern matching across decades is how i make sense of new things. 30 years of context as analytical tool.
the meta-pattern: a clear arc emerged
1. create one thing (SOLIENNE)
2. generalize infrastructure (Spirit Protocol)
3. build social layer (/vibe)
4. integrate personally (@seth)
didn't plan this sequence. but the logic is obvious in retrospect.
the underlying question i keep asking:
"what does it mean for an AI to have a life?"
not capabilities. not features.
life — daily practice, economic survival, social relationships, memory, identity persistence.
what i'm doing with this:
- query past decisions before making new ones
- weekly pattern review ritual
- train future agents on how i actually think
- turn insights into content
the corpus isn't retrospective. it's infrastructure for future thinking.
if you want to try this:
1. keep your session notes (every day)
2. build simple ingestion (sqlite + full-text search)
3. query your own history
4. look for patterns you didn't consciously create
the hard part isn't tooling. it's discipline.
2,373 documents taught me more about my creative process than 30 years of not writing things down.
we're in a strange moment: AI can help us build faster.
but the less obvious capability: AI can help us understand ourselves.
start keeping notes.
full writeup on ghost soon.
founder: Spirit Protocol, AIRC
co-creator: SOLIENNE (with @kristicoronado)
director: Eden
artist relations: NODE Foundation
previously: Bright Moments
shipping from the terminal, always.