Creating Efficient Workflows

DarcyIQ's AI Workflows provide a powerful way to automate complex processes. By understanding the core concepts and following best practices, you can build highly efficient and accurate agent systems.

Core Workflow Concepts

At the heart of DarcyIQ Workflows are Tasks and Agents.

Tasks: Defining the Work

A Task represents a specific piece of work you want to accomplish. Each task has two crucial components:

1. Goal: This is a clear statement of what you want the AI to achieve. It should be specific and unambiguous.

   • Example: "Analyze the Q3 financial report and summarize key performance indicators."

2. Expected Output Format: This defines the structure and format of the result the task should produce. This is critical for ensuring accuracy and mitigating hallucinations, as the system uses this to validate the agent's output.

   • Example: "A JSON object with keys: 'revenue', 'profit_margin', and 'key_achievements'."

Tasks can produce various outputs, including:

Output Type	Example / Description
Plain Text	Summaries, analyses, generated content
Formatted Documents	Word, PDF, presentations
Structured Data	JSON, CSV for data processing/integration
Diagrams	Flowcharts, architecture diagrams

Agents: The AI Workforce

Agents are the AI entities that perform the work defined in a task. The core principle of DarcyIQ Workflows is:

1 Task = Many Agents

This means you can assign one or multiple agents to a single task. These agents can work collaboratively to achieve the task's goal.

• Each agent can have specialized skills or access to different tools (e.g., browser, calculator, knowledge bases).

Create one or many agents

Give an Agent a persona as well as tools

DocumentVault: Providing Context and Knowledge

The DocumentVault is a powerful feature integrated within AI Workflows that significantly enhances an agent's ability to access and utilize information. It allows you to provide a rich set of documents that agents can use to solve tasks.

Key features of the DocumentVault:

Feature	Description
Large Volume of Files	Upload dozens of files, far exceeding typical individual file upload limits.
Increased File Size	Each file can be up to 50MB, allowing for comprehensive documents.
Flexible Access	Agents pick files or parts of files from the vault at will during task.
Contextual Knowledge	Provides a dedicated repository for agents to draw upon for accuracy.

Best Practices for Workflow Design

Designing Effective Tasks

1. Be Specific with Goals: The clearer the goal, the better the AI can understand and execute the task. Avoid vague or overly broad goals.

2. Define Expected Output Precisely: Specify the desired format, structure, and any constraints (e.g., word count, specific fields for JSON). This helps the AI deliver what you need and allows DarcyIQ to validate the output.

   • Good Example: "Generate a three-paragraph summary of the provided market research report, focusing on competitive threats. Output as plain text."

   • Less Effective Example: "Summarize the report."

3. Know When to Split Tasks:

   Approach	Description	Best Used When...
   Single Task	Use for straightforward objectives with a single, coherent output.	- The goal is clear and concise. - Multiple agents might contribute, but to one unified outcome. - The process doesn't have distinct, separable stages.
   Multiple Tasks	Break down a complex goal into a sequence of smaller, distinct tasks.	- Different stages require vastly different analysis or output types. - Intermediate outputs are needed for review or as inputs to other processes. - The overall process is too complex for a single clear goal statement.

Assigning Agents Strategically

When deciding how many agents to assign to a task, consider the following:

Approach	Suitable For	Example
Single Agent	- Simple, well-defined tasks aligning with one agent's skills. - Tasks not needing diverse expertise or parallel work.	Rewriting a paragraph in a different tone.
Multi-Agent	- Complex tasks needing multiple steps, reasoning types, or data sources. - Tasks requiring diverse, specialized skills. - Collaborative problem-solving where agents build on or critique work.	For "Create a market analysis report": - Agent 1: Researches competitors. - Agent 2: Analyzes market trends (knowledge base). - Agent 3: Synthesizes and writes.

Agent Configuration: Ensure each agent assigned to a task has the necessary tools and skills enabled (e.g., internet access for research, knowledge base access for internal data).

Structuring Your Workflow

1. Start Simple, Iterate: Begin with a basic version of your workflow and gradually add complexity. Test each task and agent configuration.

2. Logical Flow: If using multiple tasks in a sequence, ensure the output of one task logically feeds into the input requirements or context of the next.

3. Modularity: Design tasks to be as self-contained as possible. This makes the workflow easier to manage, debug, and update.

4. Resource Management: Be mindful of the complexity and number of agents, as this can impact processing time and cost. Use the minimum number of agents required to effectively solve the task.