Start With the Goal
You tell us what you want AI to help with. We turn that into a clear setup plan instead of throwing tool names at you.
What we set up
You bring the goal. We turn it into a setup.
Most people do not need another AI tip. They need someone to sit with them, understand what they want done, choose the right tool, and make it work on their machine or project.
Choose the Right Setup
We decide with you whether you need Claude, Codex, OpenCode, OpenClaw, a local model, or something simpler.
Configure It With You
We install the tool, connect what it needs, add useful skills, set boundaries, and show you how to use it on your own work.
Where people get stuck
The hard part is knowing what to set up.
The hard part is knowing what belongs in the setup: tool, model, permissions, files, skills, memory, cost limits, and what the agent should ask before doing.
Which tool should I use?
Which model is good enough for my work?
What should the agent be allowed to access?
Where do custom skills and project rules live?
How do I stop the setup from becoming expensive or messy?
Which tasks should stay manual for now?
Tools
Already know the tool? Start there.
We work across the current agent ecosystem, but the setup is built around your work, not one vendor.
Claude Code and Desktop setup
Claude
Claude setup with skills, hooks, MCP, memory, review loops, and the pieces that make it useful around your real work.
OpenAI ecosystem setup
ChatGPT + Codex
ChatGPT, Codex, GPT models, project instructions, scripts, tool access, memory, browser use, and review steps around your real work.
Coding agent with model flexibility
OpenCode
A coding agent setup around your repo, commands, review flow, and model choice so you can change models without rebuilding the way you work.
Private agent workflows
Hermes Agent
Persistent memory, messaging, provider switching, private deployment choices, and agents that can keep working across sessions.
Open agent control
OpenClaw
Open source agent setup with skills, memory, tool connections, permissions, local options, and clearer control over data.
Lightweight local agents
NanoClaw
A smaller agent setup for people who want useful automation closer to their own environment without the full OpenClaw weight.
Controlled agent infrastructure
NemoClaw / NVIDIA OpenShell
Controlled agent infrastructure with private models, network rules, logs, permissions, review steps, and stronger data boundaries.
New tool evaluation
Antigravity
Evaluate new agent tools against your work, privacy needs, data control, provider choice, and the setup you already use.
Examples
What the setup actually changes.
We do not add random AI parts. We decide which pieces make your work easier, faster, more repeatable, or safer to review.
The Right Tool for the Job
Claude, ChatGPT, Codex, OpenCode, OpenClaw, Hermes, a local model, a script, or something simpler. We choose based on what you want done.
A Working Installation
Accounts, keys, apps, terminal setup, browser access, extensions, or cloud pieces. The boring setup gets handled so you can actually use it.
Access and Project Rules
Files, folders, repos, docs, tickets, browser context, app data, and the rules for the project. The agent gets what helps the task, not random access to everything.
Skills for Repeated Work
If you explain the same thing again and again, it can become a Skill. Ticket creation, ticket updates, handovers, repo setup, video descriptions, or review rules can become reusable behavior.
Memory Improved With the Right Plugins
Good memory is not one toggle. We choose the right memory approach or plugin so decisions, names, preferences, useful facts, and recurring project context can carry over without stuffing everything into every prompt.
Security, Review, and Approval
We decide what the agent may access, which tools and MCP servers it can use, when CI/CD or commands are allowed, and where hard approval gates are required. The goal is simple: connected tools should help the work without being able to damage critical systems.
Automated Ticket Work With Human Review
Suitable tickets can start an agent run: gather context, work on the task, write status back, surface follow-up work, and leave the result for a person to review and approve.
Cost, Privacy, and Subscription Decisions
Some subscriptions can be replaced with self-built, open source, or cloud based solutions that you control. We help you decide what should stay, what can be replaced, and where replacing it would add more complexity than value.
One Real Task Working
We test the setup on the thing you brought, so you leave with an actual working path instead of a theory about what AI could do.
What changes when the setup works
“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.
Bring the goal. We will help with the setup.
Book a setup session if you want hands-on configuration. Book a free strategy call if you first want to decide what kind of agent setup makes sense.
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