PromptDAG Builder

🕸️ Visual Suggestion: Consider adding a flowchart showing how a multi-node prompt graph connects nodes like summarizer → classifier → action decision prompt.

The PromptDAG Builder is a visual and programmatic interface for designing and executing multi-prompt workflows using a directed acyclic graph (DAG) abstraction. It enables developers and non-technical users to construct complex semantic flows by chaining prompts into structured logic graphs.

┌────────────────────────────────────────────────────────────────────────────────┐
│                          PROMPTDAG EXAMPLE WORKFLOW                            │
│                                                                                │
│   ┌───────────────┐     ┌─────────────────┐     ┌───────────────────┐          │
│   │               │     │                 │     │                   │          │
│   │  Document     │────▶│  Summarizer     │────▶│  Sentiment        │          │
│   │  Extractor    │     │                 │     │  Analyzer         │          │
│   │               │     │                 │     │                   │          │
│   └───────────────┘     └─────────────────┘     └───────┬───────────┘          │
│                                                         │                      │
│                                                         ▼                      │
│                                           ┌─────────────────────────┐          │
│                                           │                         │          │
│                                           │  Conditional Branch     │          │
│                                           │                         │          │
│                                           │                         │          │
│                                           └────────┬────────────────┘          │
│                                                    │                           │
│                          ┌──────────────────────┐  │  ┌────────────────────┐   │
│                          │                      │  │  │                    │   │
│                          │  Negative Feedback   │◀─┴─▶│  Recommendation    │   │
│                          │  Handler            │     │  Generator         │   │
│                          │                      │     │                    │   │
│                          └──────────────────────┘     └────────────────────┘   │
│                                                                                │
└────────────────────────────────────────────────────────────────────────────────┘

1. Conceptual Model

Each prompt within PromptHub can act as a node within a DAG. These nodes can:

• Accept input from previous nodes

• Transform or reformat data

• Invoke LLMs or agent modules

• Produce intermediate outputs for downstream tasks

DAG edges define data flow, execution order, and conditional branching.

2. Features

• Visual Editor: Web-based composer to drag-and-drop prompt modules, connect them, and assign parameters

• Parameter Propagation: Output of one node can be passed as dynamic input to the next

• Conditional Execution: Nodes can execute only if certain outputs match predicates

• Parallel Execution: Independent branches can be executed in parallel and merged downstream

• Reusable Subgraphs: DAG fragments can be saved, versioned, reused, and shared

3. On-Chain Representation

Each PromptDAG is hashed and stored on-chain as a unique flow asset. This allows:

• Transparent and reproducible agent behavior

• Version tracking and flow auditing

• DAG-specific licensing and monetization

4. Integration with Agents

PromptDAGs can be directly consumed by:

• Autonomous agents (e.g. AutoGPT) to replace custom toolchains

• Smart contracts that call semantic AI modules

• DAO workflows for dynamic governance proposals

The DAG builder transforms PromptHub from a prompt registry into a full-fledged semantic orchestration layer for AI-native computation.