Every person gets a usable agent setup
Your team works with Claude Code, Codex, or the right agent tool. Not as isolated experiments, but with shared Skills, rules, examples, and the connections needed for real work.
The Core
First the team setup. Then the right tickets.
First, the team gets a shared agent setup: the right tools, shared Skills, clear rules, good examples, and the connections to your real work. Then comes the next step: we check which tickets are clear enough for an agent to work on automatically. Leading AI teams already work in this direction today: agents take on clearly described tasks, write progress back, and people review the result.
Tickets can start agent runs
This is the direction OpenAI describes with Symphony for issues. For companies, it means suitable tickets can start their own agent runs. The agent works in isolation, writes status back, finds follow-up work, and returns the result for review.
Symphony Principle
A ticket can automatically start an agent run.
In a classic board, a ticket describes work for a person. In the Symphony principle, a clear issue can automatically receive an isolated agent run. For your team, we translate that principle to suitable tickets: the agent tries to work on the task, writes progress back, and returns a result that a person reviews.
While working, the agent can discover new work. That can become a follow-up task. If the ticket is too unclear or cannot be solved cleanly, it goes back to a person or is continued directly with an agent.
Simple Picture
1
Ticket comes in
A clearly described task in your ticket system.
2
Agent run starts
An isolated agent receives the ticket and works on it in its own environment.
3
Status becomes visible
The agent writes back what happened, what is missing, and what result was produced.
4
New work becomes visible
If a new problem appears while the agent works, it can become a follow-up task.
5
A person reviews
A person checks the result, approves it, or takes over when the ticket is too unclear.
Shared Skills
Skills turn individual AI users into a team setup.
Without shared Skills, everyone builds their own prompts, rules, and shortcuts. With Skills, repeated work becomes reusable: how the agent asks, writes, checks, updates, and when it has to hand work back.
Fixed Structure
A Skill tells the agent which questions matter, which format to use, and what a good result should contain.
Clear Rules
The agent knows what it may prepare, when it has to ask, when it should stop, and where a person must review.
One Team Standard
Ticket updates, handovers, research, reports, or repository setups do not depend on who remembered the process that day.
The Right Tool Access
If a Skill needs access to repos, files, tickets, docs, CRM, or other systems, we connect only what the task actually needs.
What is realistic
Which tickets fit automatic agent runs?
We do not promise that every ticket gets solved automatically. We look at your real ticket types and check which ones are clear enough to start an isolated agent run, and which ones should stay human-led.
What the agent run can do
Gather context, work on the task, write status back, prepare a change or analysis, make follow-up work visible, and return the result for review.
1
The ticket describes a clear goal.
2
The agent can reach the sources it needs.
3
The agent can work in an isolated environment.
4
A person can review the result.
5
The agent is allowed to write status back.
6
New work can become visible as a follow-up task.
Control
People stay responsible for the important parts.
A good agent setup does not only define what agents may do. It also defines when they stop, when they ask back, and when a person must take over.
sharpen unclear tasks
set priorities
make sensitive decisions
review and approve results
steer complex work directly with agents
decide what should really be automated
What we clarify with you
We test this against your real work.
The goal is not an abstract AI concept. The goal is a setup that fits your tools, your team, your Skills, and your ticket system.
Which agent tools fit your team?
Which Skills or Skill chains should your team share?
Which repeated work should become a Skill?
Which ticket types fit isolated agent runs?
Which agent runs may write status or suggest follow-up work?
Which rules, permissions, and review steps need to be built in?
Why now
The fastest AI teams are not only working with better prompts.
OpenAI shows with Symphony how an issue tracker becomes a control center for Codex agents: issues automatically start isolated agent runs, agents write progress back, produce results, and can make new issues visible. For your team, we translate this principle to suitable tickets. It does not mean automating everything immediately. It means checking which tickets are suitable and what setup is needed first.
The setup decides how useful AI becomes for the team
“Every morning I was burning hours browsing freelance platforms and writing tailored applications before I could touch billable work. Cortension set up an agent that knows my portfolio, filters for real fit, and drafts proposals the client wants to read. I got my mornings back and my win rate went up.”
“Cortension helped us run AI entirely on our own infrastructure. Local models, fine tuned for our use case, no data leaving the building. Full control, full compliance.”
“Cortension set me up with Hermes Agent and it completely changed how I work. It remembers my projects across sessions, auto generates skills the more I use it, and I can reach it from Telegram, Slack, wherever I am. One coaching session and the thing just runs.”
“With Claude Code and one cloud provider, Cortension helped us replace everything. Calendly, Shopify, analytics, email automation. All of it, built and owned by us. No more monthly fees stacking up, no more depending on tools that can change their pricing overnight.”
“Cortension showed me how to use Claude Code to build my own website, set up fully automated cold email outreach, and get everything running. I went from paying for a dozen SaaS tools every month to handling it all myself. No Calendly, no Mailchimp, no Webflow. Just Claude Code and one cloud account.”
Meet the Founder
Benito Exner
Founder & CEO
Cloud DevOps Engineer turned Agentic AI specialist. I built Cortension because I saw teams struggling with tools that should be making them faster.
Build Your Team Setup for AI Agents.
Bring your tools, your ticket system, and a few real tasks that cost time today. In the sparring call, we challenge the plan, check what is realistic, and decide the next step.
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