VALESKA
Making Visual Description Practical
A visual-description pipeline is useful only if it can work at a practical pace. I am overlapping image preparation with inference and enabling GPU features where available.
Read articleAVANTI AI INNOVATORS / DAVID GARGAN
Ideas into practice.
Notes on AI, integration, and building useful systems.
VALESKA
The architecture of governed knowledge: retrieval, provenance, permissions, and institutional memory in VALESKA.
Multi-agent Systems
DaveRouter and Commons: execution, shared decisions, work ownership, and coordination across multi-agent environments.
StoryTeller
The technical architecture of visual storytelling: story and scene models, generation workflows, and the connections between narrative and visual assets.
VALESKA
Letting Images Describe Themselves
I am adding a visual-description pipeline because prompts alone are too limited for reliable retrieval. Generated natural-language captions become part of the search record alongside the original catalog evidence.
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VALESKA
Making Visual Similarity Searchable
Folders alone can no longer make the visual collection usable. I am connecting its catalog to the VALESKA PostgreSQL and pgvector store so related images can be found by meaning as well as recorded fields.
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VALESKA
Testing a Vocabulary for Visual Material
I am testing small working categories for recurring visual material. A vocabulary should help people locate and compare evidence without erasing the details that make an image useful.
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VALESKA
Mapping Images to Narrative
VALESKA needs visual material to retain its place in the work, not merely a location on a drive. I am extending the collector with episode, scene, and beat fields while adding curated and working sources.
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VALESKA
Beginning a Visual Evidence Collection
In February 2026, VALESKA begins gathering and organizing visual material so images can become evidence that can be described, found, and connected to the work around them.
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VALESKA
Making Each Change Traceable
In December 2025, VALESKA’s working method adds explicit atomic commits and task records so a change can be reviewed, reconstructed, and carried forward.
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Giving VALESKA a Public Face
In December 2025, VALESKA gains an Astro and TypeScript web presence so its architecture, purpose, and progress can be understood outside the repository.
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VALESKA
Testing VALESKA Against a Realistic Governance Case
In December 2025, a realistic governance test shows the difference between a working proof of concept and a living, stateful knowledge overlay.
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VALESKA
Connecting VALESKA to an AI Assistant
In November 2025, VALESKA gains an AI-assistant layer that can investigate a codebase, use governed tools, and prepare safe organization work.
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VALESKA
Building VALESKA as a Working Platform
In November 2025, VALESKA is becoming a working knowledge platform through non-destructive discovery, APQC, semantic search, and MCP.
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VALESKA
VALESKA Begins with the Work
The August 2025 repository inception: a practical system for governed discovery, semantic search, APQC classification, and knowledge that follows the work.
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