Fundamental research for intent-driven software.
Explore technical specifications, architectural blueprints, and applied cryptography shaping autonomous systems and financial safeguards.
The Vaelis Intent-Driven Architecture
A foundational specification for mapping human language to verified digital execution with cryptographic boundaries and autonomous safeguards.
Executive Summary
The paradigm shift from manual UI manipulation to autonomous intent execution.
Technical Catalog
Foundational architecture notes, security models, and empirical evaluations.
Cognitive Architecture for Autonomous Financial Flows
Traditional financial workflows rely on rigid GUI state machines that fail when users express complex, multi-condition intents. This specification details Vaelis's zero-knowledge verification pipeline and deterministic boundary engine, ensuring autonomous agents can prepare, simulate, and verify financial transactions without risking unauthorized asset movement or state corruption.
The Complexity Tax: Quantifying Friction in Enterprise Orchestration
As enterprises deploy fragmented specialized SaaS tools, human operators pay an exponential 'Complexity Tax' in cognitive switching costs and permission synchronization. Our empirical evaluation across 40 enterprise workflows demonstrates a 68% reduction in execution latency when moving from manual tool navigation to an intent-first coordination layer.
Boundary-Preserving Sandboxes for LLM Execution
Large Language Models operating with tool-call permissions present unprecedented security surface areas. This paper introduces Boundary-Preserving Sandboxes (BPS), an OS-level virtualization layer that isolates agent memory spaces, intercepts unauthorized syscalls, and enforces cryptographic proof of user approval before side-effect execution.
Language as the Universal Interface to Enterprise ERPs
Legacy Enterprise Resource Planning (ERP) systems force users into deeply nested menus and proprietary query languages. We present a semantic translation architecture that compiles natural language requests into transactional SQL and API sequences with provable syntactic correctness and automated rollback guarantees.
How we turn theoretical cryptography into enterprise software.
Theoretical Foundation
Proving cryptographic safety models, formal language semantics, and zero-knowledge boundary verification before code is written.
Studio Prototyping
Building high-concurrency sandbox environments in Vaelis Studio to stress-test agent coordination and permission boundaries under edge cases.
Enterprise Production
Transitioning verified architectural blueprints directly into mission-critical financial products like Maren with fail-safe reliability.
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