prompts.txt

Create a website for this: use modern UX/UI elements, styles, interactive animations, visual workflows with nodes and edges. and make the visuals of the workflow interactive, like dragging the nodes around and other creative things. success criteria: resembles an enterprise corproation that has been around for many years and is well funded with an excellent web developer team using newest features and techniques. here is info of the product: MCO Protocol  Model Configuration Orchestration (MCO) Server is a lightweight orchestration layer that makes AI agents dramatically more reliable by maintaining core requirements in persistent memory while strategically introducing implementation details at the right moments. Features      Framework Agnostic: Works with virtually any agentic workflow or framework     Syntactical Natural Language Programming (SNLP): Combines structured syntax with natural language for reliable agent guidance     Progressive Revelation: Strategically introduces features and styles at the right moments in the workflow     Success Criteria Tracking: Explicitly evaluates progress against defined success criteria     Persistent Memory: Maintains core requirements throughout the entire process  Why MCO?  Traditional agent frameworks often struggle with reliability, determinism, and focus. MCO was created to solve these challenges by introducing a structured approach to agent orchestration that maintains the benefits of natural language while adding the reliability of structured programming. The MCO Protocol is a new standard for reliable, deterministic autonomous agentic orchestration that addresses the challenges of traditional agentic systems through structured workflows and progressive revelation. Think about the complete autonomy of AutoGPT, AgentGPT, etc. - MCO is the missing piece of Agent, Auto, BabyAGI or GPT or anything else. It allows for easily orchestrated robust and reliable results, prevents hallucinations, and provides a progressive feedback loop that builds on itself to iteratively complete the task, or continue is on-going job. Whether giving you a daily news update, checking your stocks, posting on social media, and with the goal of eventually even entireprise-level, complex multi-step, multi-agentic pipelines for industrial/factory autonomy in control systems. MCO As An MCP Server Packeged With An Easy Configuration Tool  This repository contains the implementation of the MCO (Model Configuration Orchestration) Protocol MCP Server and Configuration Tool, designed to provide robust, and uniquely innovative autonomous orchestration capabilities to any agent framework with a single MCP Server. Overview  The MCO Protocol operates as an MCP (Model Context Protocol) server, exposing orchestration tools through the MCP protocol. This allows any MCP-enabled framework (AutoGPT, CrewAI, etc.) to use MCO by adding one line to their MCP config. Key Features      Framework Agnostic: Works with any MCP-enabled agent framework     Progressive Revelation: Strategically reveals information to agents at the right time     SNLP Configuration: Uses Syntactic Natural Language Programming for workflow definition     Web-based Configuration Tool: Easy creation of SNLP files through a guided interface     Success Criteria Evaluation: Automatically evaluates agent outputs against defined criteria  Installation  npm install -g @paradiselabs/mco-protocol  Quick Start  Create a new MCO project:  mco init my-project  This opens the configuration tool in your browser.  Configure your workflow:      Define workflow steps     Set success criteria     Add features and styling preferences     Export SNLP files  Add to your MCP config:  {   "mcpServers": {     "mco-orchestration": {       "command": "mco-server",       "args": ["--config-dir", "./my-project"]     }   } }  Use in your agent framework:  # Example with any MCP-enabled framework directive = mcp_client.call_tool("get_next_directive") result = execute_task(directive.instruction) mcp_client.call_tool("complete_step", step_id=directive.step_id, result=result)  SNLP File Structure  MCO uses four SNLP files to define the orchestration workflow:      mco.core: Defines workflow, data variables, and workflow steps     mco.sc: Defines goal, success criteria, target audience, and developer vision     mco.features: Defines features to be injected during implementation steps     mco.styles: Defines styling preferences to be injected during formatting steps  Progressive Revelation  MCO implements progressive revelation to improve agent reliability:      Persistent Memory: Content from mco.core and mco.sc is always available     Strategic Injection: Content from mco.features and mco.styles is injected at strategic points     Step Analysis: Injection points are determined by analyzing step tasks or using default positions  MCP Tools  MCO exposes the following tools through the MCP protocol: Workflow Management      start_orchestration: Start a new orchestration workflow     get_next_directive: Get the next directive for the current orchestration     complete_step: Complete the current step in the orchestration     get_workflow_status: Get the current status of the workflow  Success Criteria      evaluate_against_criteria: Evaluate a result against the defined success criteria  State Management      get_persistent_context: Get the persistent context for the current orchestration     set_workflow_variable: Set a workflow variable     get_workflow_variable: Get a workflow variable  CLI Commands      mco init [project-name]: Create new MCO project with config tool     mco validate [config-dir]: Validate SNLP files     mco serve [config-dir]: Start MCP server     mco templates: List available templates     mco deploy [config-dir]: Deploy to cloud MCP service (coming soon)  Architecture  The MCO MCP Server consists of the following components:      SNLP Parser: Parses and interprets SNLP files     Orchestration Engine: Manages workflow state and progressive revelation     MCP Tool Provider: Exposes orchestration tools through the MCP protocol     Configuration Tool: Web-based interface for creating SNLP files
Create a website for this: use modern UX/UI elements, styles, interactive animations, visual workflows with nodes and edges. and make the visuals of the workflow interactive, like dragging the nodes around and other creative things. success criteria: resembles an enterprise corproation that has been around for many years and is well funded with an excellent web developer team using newest features and techniques. here is info of the product: MCO Protocol  Model Configuration Orchestration (MCO) Server is a lightweight orchestration layer that makes AI agents dramatically more reliable by maintaining core requirements in persistent memory while strategically introducing implementation details at the right moments. Features      Framework Agnostic: Works with virtually any agentic workflow or framework     Syntactical Natural Language Programming (SNLP): Combines structured syntax with natural language for reliable agent guidance     Progressive Revelation: Strategically introduces features and styles at the right moments in the workflow     Success Criteria Tracking: Explicitly evaluates progress against defined success criteria     Persistent Memory: Maintains core requirements throughout the entire process  Why MCO?  Traditional agent frameworks often struggle with reliability, determinism, and focus. MCO was created to solve these challenges by introducing a structured approach to agent orchestration that maintains the benefits of natural language while adding the reliability of structured programming. The MCO Protocol is a new standard for reliable, deterministic autonomous agentic orchestration that addresses the challenges of traditional agentic systems through structured workflows and progressive revelation. Think about the complete autonomy of AutoGPT, AgentGPT, etc. - MCO is the missing piece of Agent, Auto, BabyAGI or GPT or anything else. It allows for easily orchestrated robust and reliable results, prevents hallucinations, and provides a progressive feedback loop that builds on itself to iteratively complete the task, or continue is on-going job. Whether giving you a daily news update, checking your stocks, posting on social media, and with the goal of eventually even entireprise-level, complex multi-step, multi-agentic pipelines for industrial/factory autonomy in control systems. MCO As An MCP Server Packeged With An Easy Configuration Tool  This repository contains the implementation of the MCO (Model Configuration Orchestration) Protocol MCP Server and Configuration Tool, designed to provide robust, and uniquely innovative autonomous orchestration capabilities to any agent framework with a single MCP Server. Overview  The MCO Protocol operates as an MCP (Model Context Protocol) server, exposing orchestration tools through the MCP protocol. This allows any MCP-enabled framework (AutoGPT, CrewAI, etc.) to use MCO by adding one line to their MCP config. Key Features      Framework Agnostic: Works with any MCP-enabled agent framework     Progressive Revelation: Strategically reveals information to agents at the right time     SNLP Configuration: Uses Syntactic Natural Language Programming for workflow definition     Web-based Configuration Tool: Easy creation of SNLP files through a guided interface     Success Criteria Evaluation: Automatically evaluates agent outputs against defined criteria  Installation  npm install -g @paradiselabs/mco-protocol  Quick Start  Create a new MCO project:  mco init my-project  This opens the configuration tool in your browser.  Configure your workflow:      Define workflow steps     Set success criteria     Add features and styling preferences     Export SNLP files  Add to your MCP config:  {   "mcpServers": {     "mco-orchestration": {       "command": "mco-server",       "args": ["--config-dir", "./my-project"]     }   } }  Use in your agent framework:  # Example with any MCP-enabled framework directive = mcp_client.call_tool("get_next_directive") result = execute_task(directive.instruction) mcp_client.call_tool("complete_step", step_id=directive.step_id, result=result)  SNLP File Structure  MCO uses four SNLP files to define the orchestration workflow:      mco.core: Defines workflow, data variables, and workflow steps     mco.sc: Defines goal, success criteria, target audience, and developer vision     mco.features: Defines features to be injected during implementation steps     mco.styles: Defines styling preferences to be injected during formatting steps  Progressive Revelation  MCO implements progressive revelation to improve agent reliability:      Persistent Memory: Content from mco.core and mco.sc is always available     Strategic Injection: Content from mco.features and mco.styles is injected at strategic points     Step Analysis: Injection points are determined by analyzing step tasks or using default positions  MCP Tools  MCO exposes the following tools through the MCP protocol: Workflow Management      start_orchestration: Start a new orchestration workflow     get_next_directive: Get the next directive for the current orchestration     complete_step: Complete the current step in the orchestration     get_workflow_status: Get the current status of the workflow  Success Criteria      evaluate_against_criteria: Evaluate a result against the defined success criteria  State Management      get_persistent_context: Get the persistent context for the current orchestration     set_workflow_variable: Set a workflow variable     get_workflow_variable: Get a workflow variable  CLI Commands      mco init [project-name]: Create new MCO project with config tool     mco validate [config-dir]: Validate SNLP files     mco serve [config-dir]: Start MCP server     mco templates: List available templates     mco deploy [config-dir]: Deploy to cloud MCP service (coming soon)  Architecture  The MCO MCP Server consists of the following components:      SNLP Parser: Parses and interprets SNLP files     Orchestration Engine: Manages workflow state and progressive revelation     MCP Tool Provider: Exposes orchestration tools through the MCP protocol     Configuration Tool: Web-based interface for creating SNLP files