Stop adapting to your AI.
Make it adapt to you.
DS-NEXUS is a meta-prompt framework that calibrates AI collaboration to your cognitive architecture — not the other way around. One calibrator, five reference profiles, six dimensions.
How DS-NEXUS works
Three principles that run through every interaction, regardless of your profile.
Signal over noise
Standard communication optimizes for rapport (~40%) and redundancy (~30%). DS-NEXUS flips it: ~85% pure information, calibrated to your absorption speed.
Intellectual equality
Simplify the presentation, never the logic. You can always reconstruct the full reasoning if you want it. Condescension is noise.
Single point of failure
Every system has one. DS-NEXUS surfaces it proactively and mitigates before it becomes the bottleneck — applied to code, decisions, and communication.
The 3-layer framework
Every problem gets the same treatment: understand the system before touching anything.
Why — Architecture
What is the real problem — not the symptom? Map constraints, assumptions, and second-order consequences before writing a single line of code.
20–40% of the time → 60–80% of the value
How — Implementation
Execute with maximum efficiency. Symmetric code, documented decisions, explicit trade-offs. No clever code — optimize for maintainability and recovery speed.
So What — Validation
Does this solve the real problem? What are the second- and third-order consequences? Where are the new bottlenecks? Is it scalable beyond N=1?
Find your starting point
Five reference profiles — their initials spell DENYS. Your actual profile is generated by the 12-question calibrator across six dimensions; these are entry points, not boxes.
Five profiles, one acrostic — press play, then calibrate your own →
Not theory — results
DS-NEXUS has been applied to four real projects. Consistent pattern across all: faster, cleaner, higher quality.
ML pipeline · Microsoft Malware dataset
AI app · Guest Journey map
Content experiment · LinkedIn
Corporate evaluation · Pestana CR7
Three steps
From zero to a calibrated protocol in under 15 minutes.
Calibrate your profile
Answer 12 questions about how you process information. No right or wrong answers — map how your mind actually works, not how you think it should.
Open the calibrator →Pick your profile
Take the closest reference profile from the profiles/ folder. Copy its system prompt. Paste it into ChatGPT, Claude, or any LLM you use.
Run and adjust
Ask the LLM something you know well. If the output feels too dense, too sparse, or off — tune the density and format parameters. It converges fast.
View on GitHub →Latest posts
Protocol updates, technical notes, and ideas from real use.
What is DS-NEXUS — and why does it exist?
LLMs don't adapt to you by default. They average. DS-NEXUS is the framework that fixes this — calibrating AI collaboration to your cognitive architecture.