Use Cases

PromptHub is not a narrow tool—it is a protocol backbone designed to serve real-world decentralized and AI-integrated applications across a wide variety of verticals.

1. Agent-Powered Applications

PromptHub allows developers to construct modular agents with:

• Explicit reasoning flows encoded as PromptDAGs

• Fine-grained control of inputs, fallback behavior, and error recovery

• Execution tracking and economic attribution per module

Example: A research summarization bot with licensed prompt chains for entity extraction, summarization, and citation generation.

2. Modular AI Microservices

Prompt modules can be called directly as semantic APIs:

• No centralized LLM proxy needed

• Deploy prompts behind SPL token gates or allow public usage

Example: A decentralized form validation service that invokes three logic steps via PromptDSL and publishes signed results on-chain.

3. DAO Automation

DAOs can:

• Encode proposal templates and vote parsing logic as prompts

• Tokenize internal decision trees

• Gate proposal formats based on voting policy modules

Example: A governance module that validates quorum, sentiment, and action alignment before submitting proposals.

4. Tokenized Education

Educators can define tests, prompts, and feedback as:

• Licensed learning modules

• Credential-generating interaction flows

Example: A language certification test powered by modular prompts, with credentials issued only if outputs are verified via PromptSig.

5. Game Mechanics and AI NPCs

Games can:

• Token-gate prompt logic for NPCs

• Define behavioral templates

• Chain world interaction via semantic DAGs

Example: A dungeon encounter system where each NPC's dialogue logic is defined via PromptDSL and reacts differently based on past PromptSig.

PromptHub enables these experiences to be modular, verifiable, upgradable, and economically fair.