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-workflows
November 10, 2025
AI-assisted development breaks around prompt 200, but it doesn't have to
The 200-prompt wall isn’t a model limitation — it’s a memory architecture problem. SR-SI adds an external memory layer to prevent context collapse.
February 14, 2026
What a brick teaches us about AI-driven product development
Spec-first AI workflows manufacture false certainty in unknown territory. Real progress comes from touching constraints first, then documenting what the system proves to be true.
February 16, 2026
I shipped a beta, almost production-grade PWA fast, less than a day
Speed with AI isn’t the hard part. Staying coherent is. Here’s the SR-SI workflow that prevents drift and makes fast builds stay structurally clean.
February 16, 2026
Spec-first is anxiety management
In unknown territory, comprehensive specs don’t reduce risk — they manufacture false certainty. Build small tests, document learning, and iterate with cheap context re-entry.
February 17, 2026
AI can get you 90% of the way to a spec in seconds
AI-generated specs don’t just save time — they frame the problem. That first frame anchors your thinking, narrows the solution space, and can quietly outsource the highest-leverage part of design.
February 18, 2026
What if AI could learn to remember?
Memory isn’t storage — it’s reconstruction. SR-SI creates memory-like behavior by using a shallow index as an activation node that triggers architectural re-orientation.
February 19, 2026
AI lets you move at 240 km/h
AI speed is intoxicating — but most failures will come from ignoring restraint. The new skill is knowing when to slow down.
February 20, 2026
Builder mode vs architect mode in AI development
Most AI dev workflows assume you’re executing a resolved plan. Real product work is architectural discovery — and specs should be the output, not the input.
February 20, 2026
The biggest lie in AI-assisted development
Better specs don’t fix AI projects. Context decay does. SR-SI compresses architectural memory into a shallow index the AI consults and maintains to prevent drift.
February 20, 2026
The moat hiding in plain sight is memory
General AI is stateless by design. The durable moat is structural memory — a system that reconstructs context on demand and compounds coherence over time.
February 21, 2026
Communication engineering beats prompt engineering
“Prompt engineering” is mostly a clarity problem. AI doesn’t need special syntax — it needs clear intent, outcomes, and constraints, like any teammate.
February 23, 2026
The AI isn't an oracle, it's a collaborator
Oracle AI generates synthetic certainty from zero context. Embedded AI collaborates with lived project memory, maintaining continuity across sessions and building from real constraints.
February 24, 2026
The problem with AI isn't intelligence. It's orientation.
Every team I talk to has the same complaint: the outputs are generic. The AI sounds confident but misses what matters. Heavy editing required. Back to square one.
February 25, 2026
How I maintain coherence across 66,000 lines of code without losing the thread
Most AI-augmented development workflows break when they crash into the context wall.
February 26, 2026
Why AI outputs feel 60% relevant
When AI lacks your context, it returns the average answer with confident tone. The fix isn’t better prompting — it’s an orientation layer that makes your team’s knowledge findable before execution.
February 27, 2026
Ambiguity is information, not a problem
Forcing uncertainty into structured requirements doesn’t remove ambiguity — it hides it. The cost shows up later as the wrong thing, built perfectly.
February 27, 2026
Documentation tells you what happened. An index tells AI where to look.
These are not the same artifact and treating them as equivalent is one of the most expensive mistakes in AI-augmented work.
February 28, 2026
Building four products in parallel while holding a full-time job — the system, not the hustle
This is not a productivity post. I'm not going to tell you to wake up at 5am.
February 28, 2026
The architect and the builder
AI can accelerate execution, but its bigger advantage is accelerating discovery. The question is whether you’re using AI to follow plans, or to find better ones.
February 28, 2026
Why I went the opposite direction from spec-first
Spec-first tools aren’t wrong — they just don’t match how everyone thinks. SR-SI supports an architect’s workflow: sketch, test, refine, repeat, without context loss.
March 3, 2026
I've gotten lazy in the best way
With SR-SI, AI stops being a tool you instruct and becomes a teammate that remembers. I offload file-path and wiring details so I can stay in product thinking and discovery.
March 4, 2026
You don't fix a memory problem by adding more memory
Bigger context windows aren’t memory systems. The fix is structure: a shallow index that points to truth and lets AI re-orient without drowning in history.
March 9, 2026
Encyclopedia vs index: why longer prompts don't fix AI
The problem isn’t how much context you give AI — it’s how findable that context is. Better outputs come from better information architecture, not longer prompts.
March 8, 2026
Don't brief AI with history. Orient it with a map
Good onboarding isn’t comprehensiveness — it’s navigation. SR-SI replaces prompt stuffing with a shallow index that lets AI find the right detail on demand.
March 27, 2026
Gestalt is live. What building it revealed about the problem it solves
Gestalt is a fractal system mapping tool that lets you navigate between strategy and execution without losing context. Built in eight days using SR-SI, it demonstrates how structure—not AI—unlocks speed.
March 30, 2026
Why AI context degrades — and the architectural fix that actually works
AI context drift isn’t a model limitation—it’s an architectural failure. SR-SI replaces brute-force context with indexing, enabling persistent coherence across long-running projects.
March 31, 2026
Protocol: building a fitness OS for coaches who've outgrown their tools
Protocol starts with the athlete but is designed to grow into a B2B2C fitness OS for coaches and boutique studios. The product architecture reflects the business model from day one.
April 2, 2026
Your team is using AI. That’s not the same as having an AI workflow
Most teams use AI individually without a shared system. The real value comes from structured workflows that preserve context, improve output quality, and reduce inconsistency.
April 13, 2026
SR-SI in practice: what a context document actually looks like — and what it replaced
A concrete look at how SR-SI works in practice: what the context document contains, how it’s structured, and how it replaces the hidden re-explanation overhead of AI-assisted development.
April 16, 2026
What an AI taskforce should actually produce (and what it enables)
Most AI taskforces focus on tools and policies. The real outputs are structural: a knowledge map, context index, workflow, diagnostic instinct, and team alignment.
May 3, 2026
Why AI is making your team more exhausted, not less
AI can raise output while draining human judgment. The hidden cost is the evaluation tax teams pay when every generated artifact needs review.
May 11, 2026
Why your AI context resets every sprint - and what a context architecture actually looks like
Generic AI output usually comes from missing orientation, not weak prompting. Context architecture gives teams a way to preserve decisions, constraints, and product logic across sessions.
May 11, 2026
Your team already uses AI. It just doesn't know you yet.
AI adoption stalls when tools know the task but not the team. Orientation gives AI the product context, constraints, and decisions it needs to produce work that fits.
May 19, 2026
Building Protocol while running a consulting practice: what actually happens to your evenings
A founder note on building Protocol around family, consulting work, solo discipline, and the real tradeoffs of parallel product building.
May 24, 2026
Every post on this site has a unique image generated from its title. Here's why - and how.
A builder note explaining why this site uses deterministic title-seeded generated images for every post, and what that says about repeatable creative systems.
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
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.