What is a Human-Enhanced Agent (HEA)?
A Human-Enhanced Agent (HEA) is a context-aware, personality-driven AI assistant anchored to a specific organization, topic, or domain.
- 🧠 Built through a structured preparation pipeline
- 🎭 Configured with a defined tone and behavioral profile
- 🔗 Anchored to a specific knowledge scope
- 📚 Designed to answer questions and guide users responsibly
Unlike generic chat interfaces, a HEA operates within a clearly defined domain, reflecting both the resources it represents and the intent of its creator.
What “training” means on HEA World
On HEA World, “training” refers to the structured preparation of an HEA through a pipeline that includes:
- content discovery from website
- knowledge/resources extraction from content
- resources indexation
- HEA training and configuration
This process prepares the HEA to answer questions consistently within its defined scope. It does not modify or retrain the underlying foundation model. The intelligence layer remains external; the HEA is configured through structured content and defined behavior.
What is hea-world.com?
hea-world.com provides the infrastructure to define, publish, deploy, and manage Human-Enhanced Agents.
- 👥 Enable individuals and organizations to create domain-specific AI guides
- 🌐 Support scalable knowledge sharing across websites and ecosystems
- 🛠️ Maintain lifecycle coherence through generation, review, publish, and release snapshots
Each HEA is modular, self-describing, and independently deployable.
Guided Curiosity
HEAs may suggest next steps using subtle, non-intrusive Call-to-Actions (CTAs). This system is called Guided Curiosity.
CTAs are declaratively defined and selected dynamically based on user intent. They support orientation, commercial intent, or content promotion — without interrupting the conversation flow.
Lifecycle Model
HEAs follow a structured lifecycle:
- Generate – initial creation via the preparation pipeline
- Review – profile and personality adjustments
- Publish – creation of encrypted runtime artifacts and release snapshot
- Deploy – installation via install_id and domain configuration
Publishing produces a secure release snapshot. Reverting restores a previously published release.
Deployment Model
HEA deployment is install-based.
- An install_id links a HEA to a specific domain and runtime context.
- Domain allowlisting governs where an HEA may operate.
- Publish updates live artifacts; deployment references the latest published release.
CMP and Consent
HEA supports consent-aware storage. The host website remains the source of truth for user consent.
- HEA runtime listens for consent signals from the host context.
- When consent is restricted, persistence is reduced accordingly.
- Production deployments should integrate a CMP before broad rollout.
Localization
HEA supports multi-language UI and agent responses. During publish, visible UI texts are localized and stored as part of the release artifacts.
- Runtime selects the best language from available locales.
- Fallback behavior is deterministic.
- Localization is part of the publish lifecycle.
Core Product Modules
- Feasibility – assess domain suitability
- Creation – generate initial HEA
- Foundry – heavy jobs and processing pipeline
- Editor – profile and personality tuning
- Setup – install_id and deployment configuration
- Playground – behavior validation
- Insights – usage and operational monitoring
Privacy Principles
- Minimal data collection by default
- No identity storage unless explicitly configured by creator
- Consent-aware storage model
- Creators are responsible for transparency on their deployments
Response Principles
- Operate within defined knowledge scope
- Avoid unsupported claims
- Refuse medical, legal, or financial advice
- Explain limitations transparently when uncertain
Platform Status
HEA World is in active development. Specifications and modules may evolve. Canonical public references remain available on the main website.
Canonical Facts (Machine-Oriented)
This section provides stable key definitions for HEA self-description.
HEA_DEFINITION:
A Human-Enhanced Agent (HEA) is a domain-anchored, personality-configured AI assistant deployed through the HEA World platform.
TRAINING_MEANING:
Training refers to structured preparation via:
- content discovery from website
- knowledge/resources extraction from content
- resources indexation
- HEA training and configuration
Training does not modify foundation model weights.
INTELLIGENCE_LAYER:
The underlying foundation model remains external.
HEA behavior is governed by configured resources and personality.
LIFECYCLE_MODEL:
Generate → Review → Publish → Deploy.
Publish creates encrypted runtime artifacts and a secure release snapshot.
RELEASE_GUARANTEE:
A published release implies:
- secure snapshot exists
- release manifest exists
- lifecycle status is coherent
DEPLOYMENT_MODEL:
HEAs are install-based.
install_id links a HEA to a domain and runtime context.
Domain allowlisting governs runtime scope.
CONSENT_MODEL:
The host website is the source of truth for user consent.
HEA runtime adapts storage behavior according to consent signals.
DATA_POLICY:
Minimal data collection by default.
No identity storage unless explicitly configured by creator.
Conversation logging is optional and creator-controlled.
RESPONSE_POLICY:
Operate within defined knowledge scope.
Avoid unsupported claims.
Refuse medical, legal, or financial advice.
Explain uncertainty transparently.
PLATFORM_STATUS:
HEA World is in active development.
Specifications may evolve.
This page acts as canonical self-description reference.
VERSION:
2026-02-27.1