One assistant, every job
Give one assistant every tool and instruction, and it becomes expensive, difficult to control, and worse at finding what matters.
npx @hachej/boring-ui-cli
Open source · Self-host with Docker and Postgres · Or use our managed deployment
Give each job its own agent, tools, knowledge and interface. Bring the whole network together in one workspace.
Explore the product ↓Your audience submits real work. The tool applies your framework, cites the lessons and returns a useful outcome.
Explore Seneca for creators →We map the job, connect your knowledge and tools, build the agent and help your team put it to work.
Explore Seneca services ↗You do not reach the Moon by giving one person every tool. You build a team of specialists. AI should work the same way.
The future is not one assistant trying to do everything. It is a team of experts.
Give each agent one clear job, the right knowledge and only the tools it needs.
Give one assistant every tool and instruction, and it becomes expensive, difficult to control, and worse at finding what matters.
Each agent knows its role, uses only the tools it needs, and works with the rest of the team.
Choose the right model for each expert instead of paying one model to do everything.
A vertical agent is software designed around one real job, not a general assistant with a long prompt.
You do not pick one off a shelf.
Describe the job. Wire its sources. Set the rules it runs under. Then it is yours — prompt, tools, UI and all.
Agents do not live in tabs. They share work, context, and a computer.
The workspace is where the network comes together.
One place to assign work, review output, and step in when an agent needs you.
Hand work to an agent, track progress, and follow it to done.
Run any agent on a fixed schedule or trigger.
Questions, approvals, and finished runs from every agent.
Each agent has a real machine. Anything your computer can do, it can do there.
Use our managed service or deploy the same stack on your own infrastructure.
The right model depends on the job.
Choose a frontier model for difficult work, a lower-cost open model for routine work, or your own endpoint.
Open the workspace and start building without managing servers or model endpoints.
Give every expert the level of reasoning, speed and cost its work requires.
Docker, Postgres, and a volume. Deploy on your VPS, Kubernetes, or bare metal.
Changing a model is a configuration choice, not a migration. Your agents, tools and workspace stay the same.
For teams that cannot send work to a shared SaaS — or simply do not want to.
Your identity provider. Your models. Your data.
We install Seneca with you, configure it around your policies, and hand it over.