> For the complete documentation index, see [llms.txt](https://docs.revox.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.revox.ai/products/dprompt.md).

# DPrompt

DPrompt ([revox.ai/dprompt](https://revox.ai/?dprompt)) is REVOX’s **on-chain AI inference layer**, designed to make advanced AI models natively accessible within smart contracts. It enables decentralized applications (dApps) to query machine learning models and receive **verifiable results** directly on-chain, without relying on centralized providers. By combining off-chain computation with cryptographic proofs, DPrompt bridges the gap between AI and Web3 in a trust-minimized way.

Unlike traditional oracles that deliver only static data (e.g., price feeds), DPrompt delivers **dynamic, context-aware AI inferences**—allowing smart contracts to ask open-ended questions, perform classifications, or run predictive models, then act upon the results autonomously.

<figure><img src="/files/sOTnbFPElNGWAvW8KdLR" alt=""><figcaption></figcaption></figure>

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#### Product Experience

The **DPrompt interface** reflects its goal of simplicity and accessibility, both for developers and end users.

* **Model Selection:** Users can choose between different AI models (e.g., GPT) depending on their task requirements.
* **Chain Integration:** DPrompt currently supports BNB Smart Chain and is designed for multi-chain expansion.
* **Custom and Hot Prompts:**
  * *Custom Prompt* allows users to input free-form instructions for the AI model.
  * *Hot Prompts* provide pre-built templates for common tasks (e.g., risk checks, trading signals, classification).
* **Result Verification:** The returned inference is displayed alongside a transaction hash, ensuring traceability and verifiability.
* **Smart Contract Integration:** Each DPrompt instance is tied to a contract address, enabling dApps to reference it directly within workflows.

This streamlined UI (see figure above) illustrates the workflow:\
**Users → AI Contract → AI Provider → Result (with Proofs).**

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#### Key Features

| Feature                  | Description                                                                                                       |
| ------------------------ | ----------------------------------------------------------------------------------------------------------------- |
| **On-Chain AI Requests** | Smart contracts submit inference requests directly, embedding AI reasoning into automated workflows.              |
| **Verifiable Outputs**   | Results are accompanied by cryptographic proofs (zkML, stake-based consensus, or hybrid schemes).                 |
| **Gas-Only Model**       | Users only pay gas fees, lowering friction and removing hidden subscription models.                               |
| **Multi-Model Support**  | Compatible with large language models (LLMs), classification models, and prediction engines.                      |
| **Composable Workflows** | DPrompt can be used as a node in REVOX workflows, combined with Primitive Agents, Plugins, and Context Knowledge. |

***

#### Technical Architecture

* **Request Layer:**\
  Smart contracts encode prompts and send them to the DPrompt contract.
* **Computation Layer (Off-Chain AI Providers):**\
  Nodes execute AI inference off-chain to optimize cost and latency.
* **Verification Layer:**\
  Each inference is accompanied by:
  * **Proof-of-Stake Consensus:** Multiple providers must agree on results.
  * **Zero-Knowledge Proofs (zkML):** Where available, cryptographic guarantees prove that the model ran faithfully on given inputs.
* **Delivery Layer:**\
  Verified results are written back on-chain, available to dApps, agents, and workflows.

***

#### Developer and User Value

* **Developers**
  * Direct access to AI in smart contracts.
  * Ability to build autonomous agents and dApps without external trust assumptions.
  * Simple integration with SDKs and Studio for workflow design.
* **Users**
  * Lower transaction complexity: only gas fees, no external API keys.
  * Transparency and immutability: every inference can be audited on-chain.
  * Confidence that AI outputs are verifiable and tamper-resistant.

***

#### Future Roadmap

* **Expanded Model Support:** Integrating multi-modal models (text, image, audio).
* **Cross-Chain Availability:** Extend DPrompt beyond BNB Smart Chain into Ethereum, Arbitrum, and other L2s.
* **User-Submitted Models:** Enable developers to deploy and monetize their own AI models in the DPrompt network.
* **Workflow Integration:** Full compatibility with REVOX Studio for drag-and-drop inference nodes in workflow design.
* **Performance Optimization:** Lower latency pipelines, batching requests, and improving zkML proving efficiency.