December 10, 2025
The 200-Prompt Wall
Why long-running AI projects collapse around 200 prompts — and the architectural solution that breaks the limit.
Ai-memory
February 22, 2026
SR-SI: The methodology that gives AI persistent memory across any long-running project
SR-SI V2 is live: 106x Token Coherence improvement, near-zero marginal upkeep through agent-operated maintenance, and new findings on functional identity over long-running workflows.
February 23, 2026
I accidentally fixed AI forgetting without embeddings, fine-tuning, or a database
SR-SI fixes long-running AI context decay using a shallow index and a protocol—no embeddings, databases, or fine-tuning required.
April 7, 2026
Neon Oracle: why I built an AI tarot interface as a consciousness archiving system
Neon Oracle isn’t just an AI tarot tool—it’s an experiment in using structured sessions as a memory substrate to track patterns in how people think over time.
May 12, 2026
The memory problem
The first SR-SI lesson was not that AI needed more intelligence. It needed a better way to orient itself before it worked.
May 13, 2026
Memory is retrieval strategy, not storage
Better AI memory does not come from storing more context. It comes from giving the system a disciplined way to reconstruct the right context at the right time.
May 31, 2026
What Deserves to Persist is ready
The full essay connects earned memory, SR-SI, ephemeral software, organizational memory, and the question of what the digital self should be allowed to preserve.
June 2, 2026
Context decay in AI isn't a model problem. Here's what it actually is.
Context decay usually comes from the way relevant information gets diluted inside long sessions, not from the model suddenly becoming less capable.
June 15, 2026
SR-SI: the methodology for AI that maintains context across a full product build
An accessible explanation of SR-SI as a context architecture for maintaining AI coherence across long-running product builds, teams, and sprint cycles.
June 15, 2026
What coherent AI context looks like across a real sprint - and why most teams never build it
A short sprint-level explanation of why AI context architecture reduces repeated rebriefing and makes product work more coherent over time.
June 29, 2026
The index vs the encyclopedia: why giving AI everything it might need is the wrong move
A short SR-SI methodology essay on why AI context works better as a maintained index than as a bloated encyclopedia of every possible detail.