>_ dasalazarr_
The Garden

Thinking in public. Cultivating ideas.

Essays, notes, research syntheses, and project cases. A knowledge graph where ideas grow and interconnect.

06
System
2026-02-15

OpenClaw as a Second Brain: Building Episteme as a Living System

How I use OpenClaw to convert ideas, readings, and projects into a personal operating system that bridges philosophy, technology, and execution.

05
Engineering
2026-02-12

The Epistemology of Agents: What Building RAG Systems Taught Me About Steerability

Connecting high-level epistemology with low-level RAG implementation: how truth becomes probabilistic and why steerability is the ultimate engineering challenge.

Derivations

Constitutional AI: Harmlessness from AI Feedback

Research

Illari: RAG Pipeline for Constitutional AI

Case

C-02
Case
2026-02-08

AndesRC: Building a Training Coach on WhatsApp

Outcome: MVP functional with webhook processing, plan generation, feedback loops, and weekly adjustments.
04
Philosophy
2026-01-29

Justice as Harmony of the Soul

For Plato, justice is not an external norm but an internal order: a tuned soul.

Derivations

Desire without Reason = Dispersion

Note

Force without Criterion = Violence

Note

Reason without Vitality = Apathy

Note

R-01-1
Research
2026-01-29

Constitutional AI: Harmlessness from AI Feedback

Source: Bai et al. — Constitutional AI: Harmlessness from AI Feedback

A-01
Article
2026-01-28

5 Prompting Patterns for Reliable LLM Outputs

C-01
Case
2026-01-15

Illari: RAG Pipeline for Constitutional AI

Outcome: 14% reduction in non-factual citations compared to naive RAG baseline.
03
Strategy
2023-12-10

Recursive Self-Improvement

On the dynamics of recursive optimization and AI alignment challenges.

02
Engineering
2023-11-01

Epistemic Engineering

Applying systems theory and cybernetics to knowledge architecture.

Derivations

5 Prompting Patterns for Reliable LLM Outputs

Article

AndesRC: Building a Training Coach on WhatsApp

Case

01
Philosophy
2023-10-15

The Ontology of Artificial Intelligence

Examining the being-qua-being of large language models through a Heideggerian lens.