Personal AI for your professional life and team

Startups, SMBs, agencies

1. 🏅Define team objectives: Clearly outline the goals and objectives of your team or organization. This will help you determine the topics and areas of interest that are relevant to your team's needs.

For example, at a tech startup it could look like this:

Sales - Track and train on clients, partners, prosposals, contracts

Product Marketing - Track and train on product documentation, video tutorials, use case documentation

Product Manager - Track and train on PRDs, User/Client Feedback, feature requests

Founder - Track and train on board reports, pitch decks, blogs

2. 🫴🏻Collect relevant content: Gather content related to your team's areas of interest, such as documents, meeting notes, project plans, or internal communications. This can include text, voice, or video content, but keep in mind the limitations of the Personal AI regarding text input and output.

Your personal AI can stack (save) URLs to public articles and blogs online, Youtube URLs, PDFs and Google documents, and more. Each stakeholder should bootstrap their AI, given their expertise and knowledge. For more upload methods, click below.

🟣pageAdd Memories

3. 📝Train your Personal AI on team-specific knowledge: Input the collected content into the Personal AI to help it learn about your team's interests, expertise, and communication style. Focus on providing information that is most relevant to your team's objectives and goals.

4. 🗣️Train the Personal AI on team communication preferences: Teach the Personal AI about your team's preferred communication style, such as formal or informal language, specific jargon, or tone. This will help the AI generate more appropriate and accurate responses in team discussions. To accomplish this, stack data with your tone of preference.

Here are more ways to help your personal AI to understand and adapt to your team's unique communication:

📬Provide examples of team communication: Collect samples of text or chat messages, emails, or meeting transcripts that exemplify your team's communication style. These examples will serve as training data for Personal AI to learn from.

➡️Engage in regular interactions: Encourage team members to interact with Personal AI frequently in their daily communication. This will help Personal AI learn from real-life examples and adapt to the team's communication preferences over time. In DMs and lounges your AI will naturally train on your messages and learn your communication style.

👋🏻Offer specific guidance: If there are particular phrases, greetings, or sign-offs your team prefers, input those into Personal AI as well. This will ensure that Personal AI uses language that is consistent with your team's preferences.

5. 🏗️Integrate Personal AI into team workflows: Incorporate the Personal AI into your team's workflow, such as using it in team chats or knowledge-sharing systems. Encourage team members to interact with their Personal AI frequently to help it learn and adapt to the team's needs.

Create respective lounges for your team (only the lounge owner can have their AI-enabled) similar to the structure of your current channels in Slack or your current communication platform. Each team member creates a lounge for their area of expertise and enables their AI.

Furthermore, you can explore Zapier to integrate your AI with other mediums commonly used by startups, including Slack, to respond to your team, partners, and more. This way, you can use your AI in Personal AI and outside if needed.

pageSync Slack

6. 🩺Monitor and refine Personal AI's performance: Regularly review Personal AI's responses and effectiveness in addressing team-related topics and interests. Adjust training data or settings as needed to improve performance.

7. 🗨️Encourage team collaboration and feedback: Encourage your team members to collaborate with the Personal AI and provide feedback on its performance. This will help you identify areas for improvement and ensure Personal AI continues to evolve and meet the team's needs.