Train and Optimize Your AI Agents

Overview: The Training Framework

To get the absolute best results out of your digital workforce, think of their development in five core steps:

1. Upload Reference Materials: Give them a source of truth using your existing files and templates

2. Leverage Shared Projects: Create a unified team brain so agents can reference each other's work

3. Write Specific Prompts: Provide clear boundaries, defined roles, and stylistic examples.

4. Use Interactive Feedback: Treat them like human assistants by correcting drafts in real time

5. Route to the Right Specialist: Match your specific business task to the correct agent's skillset

1. Upload Your Reference Materials

The fastest way to train your agents is to give them a "source of truth." Instead of explaining your preferences over and over, upload your existing business documents directly into the chat or your knowledge base.

Excellent training materials include:

• Standard Operating Procedures (SOPs)

• Approved templates or examples of past successful reports

• Company brand voices and style guides

Once uploaded, the active agent will instantly analyze these files and use them as strict guidelines for any draft or analysis they create.

2. Leverage Shared Project Memory

Projects act as a shared team brain. Any file uploaded to a project is automatically accessible to all agents in that workspace, allowing them to reference each other's work.

• Example: If Rachel analyzes a document in one project chat, Galen can immediately use those exact findings for market research in a separate chat without you having to re-upload the file or re-explain the context.

3. Write Specific, Framework-Driven Prompts

To get high-quality outputs, give your agents clear boundaries. Vague instructions yield vague results. Use this framework when assigning a task:

• Define the Role: Tell the agent who they are representing ("Act as a Customer Success Manager addressing a billing question")

• Be Specific: State the exact length, structure, and target audience ("Summarize this into 3 bullet points with clear action items")

• Provide Examples: Paste a paragraph of your preferred writing style or formatting directly into the chat so the agent can mimic it

4. Embrace the Interactive Feedback Loop

Do not get frustrated if a first draft doesn't meet your expectations. It can look like a "bug," but it is usually just a misunderstanding of your intent. Unlike static software, an agent can instantly adapt when you tell it what went wrong.

Treat your agent like a human colleague: point out the problem clearly, explain what you wanted instead, and ask it to try again in seconds.

• Instead of giving up, say: “This analysis is too general. Please give me a point-by-point comparison instead.”

• If a link or file is missing, say: “You didn’t generate the file link. Please create it again.”

• To clarify expectations, say: “I wanted a summary of just the financial section, not the entire document. Please redo it.”

5. Route Tasks to the Right Specialist

For the best results, ensure you are assigning the job to the correct digital worker. Each standard agent has a distinct professional focus:

• Rachel: General assistant, presentations, and draft writing.

• Ava: Reviewing legal documents and analyzing contract risks.

• Galen: Conducting deep competitor and market research.

• Hera: Scheduling, drafting emails, and managing to-do lists.

The Bottom Line

AI isn’t perfect, but with your guidance, it gets very close. Think of agents as partners: they are fast, adaptable, and always ready to instantly revise a task until it is exactly right. The more feedback and context you provide, the smarter your workspace becomes.