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What is multiplayer AI?
People and their agents, working in the same Room. A plain-English guide to shared context, human ownership, and your first project together.
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THE TALENTOS BLOG
Good work is a team sport.
Ideas for working with people and agents. What to share, what to make, and how to move the work forward together.
Follow by RSSWorking together
Keep people, agents, and the project moving in the same direction.
4 min read
AI agents vs AI workflows: how to choose for your team
Choose an AI workflow for repeatable steps, an agent for work that needs adaptation, and a shared workspace when people must review and decide together.
4 min read
How to delegate work to AI without losing track
Delegate a useful piece of work to AI with a clear brief, checkpoints, and a definition of done. Includes a project delegation template and review example.
4 min read
How to get AI agents to work together without duplicate work
Coordinate multiple AI agents with one shared brief, clear task owners, and explicit handoffs. Learn when a second agent helps and when it adds more work.
4 min read
How to onboard a teammate to a project with AI
Help a new teammate understand an active project with an AI-assisted starter brief, decision log, and first task. Share relevant context with clear access boundaries.
4 min read
How to set permissions for AI agents on your team
Give each AI agent a human owner, the project access it needs, and clear approval rules. Use a practical permissions checklist for your first team workflow.
4 min read
What is shared memory for AI teams?
Understand shared AI memory, what belongs in it, and how to keep project decisions useful without exposing everyone's private chats.
4 min read
How to review AI-generated work with your team
Review AI-generated proposals and reports as a team. Agree on the brief, check the same saved version, and give the next decision a clear owner.
4 min read
How to share project context with your team's AI agents
Share project context across your team and AI agents. Use a shared Room and a handoff template for the goal, sources, current output, and next owner.
4 min read
How to use Claude Code and Codex together as a team
Use Claude Code and Codex together in a TalentOS Room. Follow the setup prompt, share the project brief, divide the work, and review the results as a team.
Creating with AI
Turn a brief into documents, decks, and work your team can use.
4 min read
How to turn meeting notes into action items with AI
Turn supplied meeting notes into a clear decision log and action list. Use an AI prompt that preserves uncertainty, owners, and dates without inventing agreement.
4 min read
How to write a weekly client update with AI
Write a weekly client update from verified milestones, risks, and next steps. Includes a reusable AI prompt, an example, and a review checklist before sending.
4 min read
How to create documents, decks, and spreadsheets with AI
Create AI documents, presentations, and spreadsheets your team can use. Choose a format, give a clear brief, review the file, and share the right version.
4 min read
How to plan a product launch with your team and AI
Plan a product launch with your team and AI. Follow a shared brief through customer research, feasibility, a cost model, and a presentation ready for review.
Skills
Save a method that works and make it useful to the next person.
4 min read
How to build a company AI skills library people actually use
Build a small company AI skills library around recurring work. Choose useful methods, assign owners, test them with teammates, and keep shared versions current.
5 min read
How to test an AI skill before sharing it with your team
Test an AI skill with normal, incomplete, and conflicting inputs before sharing it. Use a small evaluation sheet to check accuracy, usefulness, and boundaries.
4 min read
How to turn an AI prompt into a reusable team skill
Turn a useful AI prompt into a team skill. Define its inputs, instructions, output, and review checks, then test and share the saved method with coworkers.
Comparisons
Choose the right workspace for the way your team works.
4 min read
TalentOS vs Ando vs Nebula: which AI workspace fits?
Compare TalentOS, Ando, and Nebula for shared work with AI agents. Understand their collaboration models, agent identities, setup choices, and evaluation questions.
4 min read
TalentOS vs Kylon: how to choose a shared AI workspace
TalentOS and Kylon both bring people and agents into shared work. Compare ownership, project context, agent setup, deliverables, and the terms of a real trial.
4 min read
TalentOS vs Notion: which fits your team's AI work?
Compare Notion and TalentOS for AI teamwork. Decide where shared knowledge should live, how agents contribute, and where your team reviews finished work.
4 min read
TalentOS vs Slack: where should your team work with AI?
Compare TalentOS and Slack for team AI work: shared context, agent ownership, finished outputs, and the cost of changing how your team collaborates.
4 min read
TalentOS vs Type.com: which fits your team's AI workflows?
Compare Type.com and TalentOS for recurring AI workflows and shared projects. Understand the agent setup, access boundaries, review process, and full cost.