Bayon AI develops products and protocols that model context, roles, meaning, and interaction. Our work spans cognitive architectures, AI chat systems, knowledge platforms, embeddable interfaces, and composable social infrastructure.
AI chat operations
Production
A GPT chat and character management system with user accounts, admin tools, billing, and deployment infrastructure.
Real AI products need more than a model endpoint: they need identity, payments, admin workflows, observability, and a durable user experience.
Embeddable interface
Infrastructure
A lightweight chat widget that can be embedded into external websites with a single JavaScript snippet.
AI and support conversations should be easy to add to existing sites without forcing teams to rebuild their frontend.
Composable social protocol
Protocol
A protocol for representing users, groups, roles, incentives, and interaction flows through composable social primitives.
Online groups need programmable structures for identity, membership, role assignment, incentives, and governance.
Asset infrastructure
Infrastructure
A lightweight Vercel-backed CDN and file management system for serving photos and project assets with administrative controls.
AI-enabled products often need dependable media storage and delivery without pulling a large asset platform into every project.
Protocol data runtime
Infrastructure
A Web2 runtime and indexing layer for SoulSystem data, bridging protocol events, graph schemas, and application services.
Protocol systems need practical data layers so apps can query roles, entities, incentives, and interactions without depending directly on raw chain handlers.
Media storage patterns
Infrastructure
Reusable storage experiments and starter patterns for image upload, file handling, and Vercel Blob-backed media workflows.
Many AI products need image and file workflows early, and reusable storage patterns make prototypes faster to turn into production systems.
Cognitive architecture
Research
A long-running cognition engine for modeling contexts, procedures, planning, and semantic state transitions.
Human-compatible systems need more than chat completion. They need procedural memory, conditions, context, and ways to represent why an action should happen.
AI knowledge platform
Prototype
A modern wiki platform that combines rich editing, search, and conversational access to structured knowledge.
Knowledge systems become more useful when people can both edit them directly and query them conversationally.
Native AI app
Prototype
An Expo-based mobile companion for GuruAI, extending AI chat and identity workflows into native iOS and Android contexts.
AI assistants become more useful when they can move with the user across web and mobile surfaces without losing account context or product continuity.
Event intelligence platform
Prototype
An event aggregation platform that collects, previews, filters, and manages public events from Facebook, WordPress, and HTML sources.
Communities need reliable ways to gather fragmented public event data and turn it into searchable, manageable operational information.
Consent-centered records
Prototype
A private journaling and relationship records app centered on reflection, agreements, explicit sharing boundaries, and flexible identity models.
Sensitive relationship systems need careful product design around privacy, consent, identity, and selective disclosure.
Bayon AI works across research, product design, and production engineering for systems that need context-aware interaction.
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