Who Thought Your Last Thought? The Space Between an Urge and an Action
A late-night message, a red apple, and a finger-and-clock experiment lead to a harder question: if a thought arrives before we can explain it, where does our response begin?
AI Reliability Engineering is the discipline of finding truth references. Founder of Qualixar — seven shipped open-source instruments, nine public arXiv preprints, and a daily dawn study of Vedanta and Sāṅkhya validation models.
How Vedanta and Sāṅkhya provide validation frameworks for understanding intelligence — artificial and embodied. Classical Indian philosophy was built for one goal: verifying truth references in dynamic, non-deterministic environments.
Balancing the three cosmic Guṇas (Tamas/inertia/regularization, Rajas/learning rate/momentum, and Sattva/convergence) to tune neural network hyperparameters.
Viewing static weights (Prakāśa) as latent potential, animated by dynamic runtime self-reflection loops (Vimarśa) and iterative token generation (Spanda).
Applying classical validation instruments (Pratyakṣa, Anumāna, Śabda) to build formal assertions and reliability verification checks for agentic runtimes.
Translating theoretical metaphysics into production code. Real-time contracts, assertions, and test pipelines.
Formal specification and runtime enforcement of behavioral contracts for autonomous AI agents. Prevents drift, ensures compliance, enables composition.
SuperLocalMemory 4.0 is a governed, local-first memory operating system for AI agents: durable memory transactions, scoped access, evidence-led retrieval, auditable operations, and CLI, MCP, dashboard, and adapter surfaces.
Orchestration runtime of the Qualixar AI Reliability Engineering platform. 13 execution topologies (sequential, parallel, debate, mesh, hybrid, and more), Forge AI auto-design, adversarial judge pipeline, cost-quality-latency routing. 2,936 tests passing. Paper on arXiv.
Nine public preprints on arXiv. Formal methods, security, and memory for AI agent systems.
→ Two instances of the same model failed together on 90% of missions where either failed — independence is not a safe assumption
Read on arXiv →→ A governed, local-first memory control plane — verifiable transactions, scoped memory, auditable operations
Read on arXiv →→ One universal port for AI agents — 12 topologies, POMDP routing, four-tier degradation
Read on arXiv →→ Forgetting as a feature — biologically-inspired decay, cognitive quantization, multi-channel retrieval, zero LLM calls
Read on arXiv →→ 74.8% on LoCoMo with zero cloud calls — the highest local-first score reported
Read on arXiv →→ Regression testing that treats non-determinism as the subject, not the obstacle — 5–20x cost reduction
Read on arXiv →→ Agent skills execute with your agent's full privilege and nobody checks them — 675 tests, 8 novel contributions
Read on arXiv →→ Design-by-contract for agents — invariants that hold on every execution path. 1,980 sessions across 7 models
Read on arXiv →→ Shared memory is an attack surface — Bayesian trust scoring that degrades a poisoned writer instead of trusting it
Read on arXiv →Experience
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Daily study of Advaita Vedanta with Shankara’s commentaries. The tradition’s emphasis on pramāṇa — valid means of knowledge — directly informs the formal verification methodology used across Qualixar instruments. Vedanta is the original reliability engineering: a method for testing the mind’s outputs against an unchanging reference.
Tractable in code: every agent assertion is a prameya; every contract, regression, and supply-chain check is a pramāṇa; every production failure is a doṣadṛṣṭi — the cataloged flaw of perception that the system must be tuned away from.
Read the full essayI make videos with my daughter about the questions AI made me ask. It’s a different room with different rules — spoken, not written. The doorway is here; the work lives over there.
The AI Reliability Engineering Platform. Seven shipped instruments, nine public arXiv preprints, and the courses that teach how they were built.
A late-night message, a red apple, and a finger-and-clock experiment lead to a harder question: if a thought arrives before we can explain it, where does our response begin?
Across three centuries of famine and epidemic, women outlived men — strongest of all in newborns, before behaviour exists. A father and engineer traces the biology of endurance, and where it quietly meets Vedanta.
Everyone's asking if AI is waking up. I build AI for a living — and at 3 a.m., beside my four-year-old as his fever crossed 103, I understood we're asking the wrong question. The real divide isn't smart vs dumb. It's alive vs driven.
"The signal is always there.
You just have to build the filter."
7 live instruments in the Qualixar suite. New research every few weeks.
Follow the build.