Notes on multiplayer AI,
from the team building d5s.
Industry ·
What is an AI coworker? Definition and examples for 2026
An AI coworker is an AI agent with a role on your team. It works in Slack, Microsoft Teams and email, remembers context and asks before it acts.
Theodoros Gavriilidis8 min read
Industry ·
AI agents for CEOs: 6 ways to win back time to think
CEOs use AI agents to free time for strategy. Six ways to do it: morning briefs, answers from across the company, meeting notes and board rehearsals.
Theodoros Gavriilidis
Product ·
60 AI agent use cases for teams, with starter prompts
Explore 60 practical AI agent use cases for meetings, sales, support, engineering, marketing, data, and finance, with starter prompts for your team.
Theodoros Gavriilidis, Michael Hogers
Product ·
EU inference for your team in d5s
Learn how d5s combines EU workspace storage, European AI inference for supported models, and deployment options for your organisation.
Theodoros Gavriilidis
Industry ·
Best AI coworkers in 2026: we compared 10
We compared 10 AI coworkers for teams, including d5s, Viktor, Lindy, Dust and Gumloop. See pricing, where each one works and where your data lives.
Michael Hogers, Theodoros Gavriilidis
Product ·
AI agents for small business in 2026: 3 ways we use d5s
See how we use d5s AI agents for meeting preparation, invoice management, and engineering checks, giving our two-person team more time for customers.
Theodoros Gavriilidis
Research ·
Best open-source LLMs for AI agents in 2026: we tested 5
We tested 5 open-source LLMs as AI agents: tool calling, approval rules, sandbox jobs, images and speed on local hardware. Here is what to pick and why.
Theodoros Gavriilidis, Michael Hogers
Product ·
How to create an AI agent for your inbox and calendar
Create an AI agent for your inbox and calendar without code. Describe the job by typing or by voice, connect Gmail or Outlook, and approve what it sends.
Theodoros Gavriilidis
Engineering ·
How our agent swarms help test d5s
How the d5s AI agent workspace tests agent teams with real tasks, independent judges, outcome checks and token-usage tracking.
Michael Hogers, Theodoros Gavriilidis
Industry ·
The economics of an AI workforce
Shared context, persistent work, and model choice change the economics of AI, turning individual interactions into capabilities the whole team can reuse.
Theodoros Gavriilidis
Industry ·
The future of multi-agent systems
The next step change in AI is not simply more agents, but how they collaborate, organise, and remain accountable to people.
Michael Hogers
Corporate ·
Introducing d5s
A new kind of coworker arrives this year. We are building the workspace where your team and its agents do the work together.
Michael Hogers, Theodoros Gavriilidis
Corporate ·
Multiplayer AI for teams and agents.
Any model. Any cloud. Your infrastructure. Why d5s is building a workspace where people and AI coworkers work together.
Michael Hogers, Theodoros Gavriilidis
Product ·
60 AI agent use cases for teams, with starter prompts
Explore 60 practical AI agent use cases for meetings, sales, support, engineering, marketing, data, and finance, with starter prompts for your team.
Theodoros Gavriilidis, Michael Hogers
Product ·
EU inference for your team in d5s
Learn how d5s combines EU workspace storage, European AI inference for supported models, and deployment options for your organisation.
Theodoros Gavriilidis
Product ·
AI agents for small business in 2026: 3 ways we use d5s
See how we use d5s AI agents for meeting preparation, invoice management, and engineering checks, giving our two-person team more time for customers.
Theodoros Gavriilidis
Product ·
How to create an AI agent for your inbox and calendar
Create an AI agent for your inbox and calendar without code. Describe the job by typing or by voice, connect Gmail or Outlook, and approve what it sends.
Theodoros Gavriilidis
Industry ·
What is an AI coworker? Definition and examples for 2026
An AI coworker is an AI agent with a role on your team. It works in Slack, Microsoft Teams and email, remembers context and asks before it acts.
Theodoros Gavriilidis
Industry ·
AI agents for CEOs: 6 ways to win back time to think
CEOs use AI agents to free time for strategy. Six ways to do it: morning briefs, answers from across the company, meeting notes and board rehearsals.
Theodoros Gavriilidis
Industry ·
Best AI coworkers in 2026: we compared 10
We compared 10 AI coworkers for teams, including d5s, Viktor, Lindy, Dust and Gumloop. See pricing, where each one works and where your data lives.
Michael Hogers, Theodoros Gavriilidis
Industry ·
The economics of an AI workforce
Shared context, persistent work, and model choice change the economics of AI, turning individual interactions into capabilities the whole team can reuse.
Theodoros Gavriilidis
Industry ·
The future of multi-agent systems
The next step change in AI is not simply more agents, but how they collaborate, organise, and remain accountable to people.
Michael Hogers
Corporate ·
Introducing d5s
A new kind of coworker arrives this year. We are building the workspace where your team and its agents do the work together.
Michael Hogers, Theodoros Gavriilidis
Corporate ·
Multiplayer AI for teams and agents.
Any model. Any cloud. Your infrastructure. Why d5s is building a workspace where people and AI coworkers work together.
Michael Hogers, Theodoros Gavriilidis
