Shadow Blade AI Power

What is Shadow Blade AI Power?

Shadow Knife AI Power is a no-code platform developed by Shadow Knife for creating AI applications, workflows, and agents.

It allows business professionals to connect models, knowledge, tools, and RPA by dragging components together, in order to create AI applications that can be used in practice.

Core functions

Code-free AI workflows

Users can drag and drop components, connect nodes, and configure inputs and outputs to create AI processing workflows that can be run repeatedly.

• Define the input variables, output variables, and error handling for each step.
• Use model nodes to perform generation, classification, extraction, or judgment.
• Use knowledge base nodes to retrieve company information and assist in providing answers.
• Connect to external business systems via HTTP requests or RPA actions.
• First, use a small number of real samples for testing, and then release it to more users.
• For critical decisions, manual review and fallback options in case of failure should be maintained.

AI agents and skills

Each agent can contain multiple skills, and it selects the execution path based on user input or business events.

• By default, the skill used to initiate a conversation cannot be deleted, nor can its way of activation be changed.
• The messaging component can return text, images, files, or cards.
• The wait-for-reply component can monitor input and provide quick options.
• Logical components are responsible for conditional checks, branching, and termination.
• The action component can run Python, send requests, invoke RPA, or open web pages.

Multi-model and AI components

The platform continuously integrates the language, image, voice, and search capabilities of various manufacturers.

• The authorities have listed models such as OpenAI, Claude, Gemini, DeepSeek, and Tongyi Qianwen.
• Companies can also connect to large models that are deployed in a private environment.
• Language models are suitable for writing, summarizing, categorizing, and information extraction.
• The text-to-image component is used for creating marketing images and draft visual materials.
• The text-to-speech component is used for meetings, customer service, and audio/video analysis.
• The list of models, regional availability, and pricing are subject to the current console.

Knowledge base and content analysis

The knowledge hub allows the inclusion of documents, images, text, and web pages, to support workflows or intelligent search.

1. Define the topics of the knowledge base, the target users, and the scope of answers permitted.
2. Remove duplicate, expired, conflicting, and improperly authorized data.
3. Split the knowledge space by department, product, or project.
4. Configure retrieval and response rules, requiring a clear indication when confirmation is not possible.
5. Testing is carried out using common questions, ambiguous questions, and out-of-scope questions.
6. Have the business owner verify the answers and check the relevant context.
7. Establish an update cycle and record the version of the materials along with the person responsible.

The parsing accuracy for scanned documents, complex forms, and overly long files needs to be verified using actual samples.

Smart Tables

Smart tables allow AI applications to be invoked on a per-row basis, making them suitable for processing large volumes of data with a similar structure.

• Categorize customer feedback by theme, emotion, and priority.
• Extract fields from product, contract, or resume text.
• Generate titles, summaries, replies, or marketing copy in bulk.
• Add status, error message, and manual review columns to the table results.
• First, limit the number of sample rows; once the output becomes stable, increase the batch size.
• Decisions involving amounts, compliance, and personnel matters must not be approved entirely automatically.

Copywriting, image, and conversation assistant

• The official templates cover tasks such as successful copywriting, PPT outlines, and posts for WeChat Moments.
• Image tools can generate multiple potential visuals based on the business description.
• The dialogue assistant can invoke AI applications to answer specific business questions.
• Content analysis can handle files, text, web addresses, and audio.
• The template serves as a starting point; companies need to add brand, approval, and blocking rules.
• Before publishing the generated content, it is necessary to check the facts, copyright issues, and platform guidelines.

Tutorial for Shadow Knife AI Power

1. Register and access the community version, then select a template or create a new AI application.
2. Specify the user, scenario, input, output, and success criteria.
3. Select a workflow or agent and configure the required skills.
4. Components for integration, knowledge bases, search, images, or voice.
5. Set variables, conditions, exception branches, and manual confirmation nodes.
6. Use real but anonymized data for gradual debugging.
7. To publish an application, choose from the web, chat, embedded, or API usage options.
8. Set the public scope and check organizational login and access permissions.
9. Review the operation records and continuously refine the prompts, knowledge, and processes.
10. Approval, limits, and auditing are assigned to high-risk actions.

Work in conjunction with Shadow Knife RPA

AI Power is responsible for understanding, generating, and making decisions, while ShadowRPA handles deterministic execution in web pages, desktop environments, and business systems.

• After collecting business data, RPA can pass it on to AI workflows for classification or extraction.
• After AI generates suggestions, they can be verified manually before triggering RPA to carry out the action.
• The agent’s action components can call authorized RPA applications.
• The enterprise version allows for process invocation using tokens and workflow identifiers.
• Before automatic execution, it is necessary to verify permissions, idempotency, and the risk of duplicate submissions.
• High-impact actions such as deletion, payment, and sending messages must be subject to approval.

MCP tool integration

Officially, MCP integration has been first implemented in the enterprise version, serving to connect external tools and data sources.

• Official examples include Figma, Browser Use, Blender, and Amap.
• MCP can package external capabilities as tools that agents can invoke.
• Local services can help reduce the direct transmission of certain sensitive data outside.
• Each tool should define the resources that can be accessed and the actions that can be performed.
• The MCP capabilities in the community version are subject to the availability features in the current console.
• The fact that the MCP protocol is open does not mean that the Yingdao AI Power platform is open-source.

Web page sharing and embedding deployment

Published agents can be accessed via page links, and they also support embedding in existing websites using iframe or JS-SDK.

Before public deployment, it is necessary to check knowledge permissions, prompt leakage, call quotas, and abuse protection.

Prices for Community Edition and Enterprise Edition

As of August 30, 2026, the official website offers a free trial version for community use, while the enterprise version is available at a price determined through consultation with a consultant.

When a company makes procurement decisions, it should clarify the number of seats, model quotas, concurrency levels, storage requirements, API options, MCP capabilities, RPA functions, as well as the scope of technical support.

The final price, trial period, and service terms are subject to the official quote, contract, and the current settlement page.

API, SDK, and open-source status

• API: The official website explicitly supports API integration, and corresponding credentials are required to invoke enterprise processes.
• Web SDK: The official documentation provides methods for embedding via iframe and JS-SDK.
• RPA MCP Server: The open-source version supports both local and enterprise Open API modes.
• License: This MCP Server project is licensed under the MIT license.
• Open-source platform: The AI Power platform, cloud services, and model orchestration system are not made open source as a result.
• Python packages: The coded version of Shadow Knife RPA provides xbot and package; these are not equivalent to AI Power SDK.

Which users are it suitable for

• Sales staff: No-code tools for creating copy, conducting analysis, and handling questions.
• Operations team: handles content review, competitor analysis, and bulk generation.
• Customer Service Team: Creates knowledge bases for FAQs, systems for task distribution, and ticket assistance tools.
• Human Resources: Assists in resume screening and information structuring.
• Enterprise IT: connection models, knowledge bases, APIs, MCP, and RPA.
• Automation team: Creates a closed business loop in which AI makes decisions and RPA carries out the actions.

Usage restrictions and precautions

• The model’s output may be incorrect, outdated, or not in line with corporate policies.
• The content of the knowledge base needs to be updated regularly, and access permissions must be set correctly.
• Public agents may face prompt injection, abuse, and quota exhaustion.
• Using RPA, HTTP, and Python enhances the actual impact of the agent.
• Sensitive data should be masked, and the processing boundaries of the models and deployments must be defined.
• Critical operations should retain manual approval, logging, and rollback mechanisms.
• The capabilities and prices of the enterprise version should be confirmed item by item through demonstrations and contracts.

Frequently Asked Questions

What can Shadow Blade AI Power do?

It enables the creation of AI workflows, agents, knowledge-based Q&A systems, and batch business processing applications without the need for coding.

Which models are supported by Shadow Knife AI Power?

The official platform continuously integrates various models from both domestic and international sources; the current list and available quotas are as indicated in the console.

Can Shadow Knife AI Power be connected to RPA?

Yes, agents and workflows can work in conjunction with Shadow Knife RPA to enable automated execution based on AI decisions.

Can Shadow Knife AI Power be embedded in a website?

Yes, the official documentation provides deployment methods such as public or organizational pages, iframes, and JS-SDKs.

Is Shadow Knife AI Power free?

The community version is available for free trial; the specific models, quotas, and limitations related to advanced integrations are specified on the account page.

How much does the Enterprise version of Shadow Knife AI Power cost?

The official website does not specify a fixed price; it is necessary to book a consultant, who will provide a quote based on the functions, services, and scope of deployment.

Is Shadow Knife AI Power an open-source platform?

No, the public RPA MCP Server is licensed under the MIT license, but this does not mean that the AI Power platform is open source.