Plans, uses tools and checks the result
It works through the task, runs relevant checks and brings back the result with anything that still needs a person’s input.
Who Hodman is for
Start from the way you already work with AI
Hodman gives builders, product people and company owners a different way into the same result: a working project that colleagues can use and an agent that keeps moving it forward.
For builders
Use a coding agent set up to finish web projects
What gets in the way
A coding chat can change files. You still have to assemble the runtime, preview, task tracking and release path around it.
What Hodman changes
Hodman gives the agent a web-focused harness with containers, project memory, Kanban, preview and publishing. Build locally in Desktop or start a hosted project.
- Give the agent an outcome; it plans, changes, runs and validates the project.
- See the agent’s tasks, status and completed results in Kanban.
- Keep the code, runtime and deployment path in the same project.
For product and operations
Turn the next product question into something people can use
What gets in the way
A useful experiment or internal workflow can spend weeks between a document, the engineering backlog and a static mockup.
What Hodman changes
Describe the outcome and constraints, review a working preview, release it and return to the same project with usage data and feedback.
- Test landing messages and conversion flows.
- Replace a repeated handoff or spreadsheet with a small web application.
- Ask the project agent to investigate performance and prepare the next change.
For Codex and Claude Code users
Move a useful local setup into a shared project
What gets in the way
Your local agent, prompts and workflow may work well for you. Colleagues cannot use the result while it lives on your laptop or inside one coding session.
What Hodman changes
Add the Hodman Skill, sign in and ask your coding agent to bring the setup, workflow or repository into Hodman. The result gets a runtime, a URL and shared project tasks.
- Keep Codex or Claude Code as your familiar interface.
- Hand longer work to the project agent and check the result later.
- Invite teammates after the project is ready to use.
For founders and AI champions
You’ve found what AI can do. Let your teammates try it
You already use AI to get work done. Now you want a colleague to experience it on a task they care about, without having to build their own setup first.
Create an AI teammate in Hodman, give it instructions and connect the tools that person needs. They can send it a task in Telegram, Slack, Microsoft Teams, Mattermost or the web workspace, review the result and keep the conversation going.
- Start with a task your colleague already does: researching a question, checking CRM records or preparing a report.
- Give the agent relevant project context and access to the tools it needs.
- Let your colleague try it, then use their feedback to improve the instructions.
Telegram
Slack
Microsoft Teams
Mattermost
Let the agent work from your ChatGPT subscription
Connect your supported ChatGPT subscription as the project’s AI source. Teammates can work with that agent using the source you’ve connected, without setting up their own AI payment method for the project. Your subscription’s usage limits still apply; the Hodman workspace plan is separate.
Give them an agent that can do the work
Follows up when it needs you
It can return to unfinished work, ask for feedback and send a reminder in your team’s chat. Your colleague can reply in the same conversation.
Keeps context between tasks
Accepted decisions and working rules stay in project memory. Feedback helps shape how it handles the next task.
Uses the tools you’ve already connected
Authorize a project connector to reuse an existing CRM, document or internal-service integration. Credentials stay with the project that owns it.
Shows what is happening
Open the task board to see queued work, current progress and results ready for review. Open the project to inspect its files and preview.
Pick one useful result for one real colleague
That is enough for the first project. Add more people, integrations and automation after the workflow proves useful.