Define the useful version
Choose the workflow, users, data, and intended outcome. Agree on what the tool should do, where it should stop, and which actions need approval.
Agentic engineering
We build custom software, AI-assisted workflows, and integrations around your business. Agentic engineering combines AI coding agents with human direction, review, and testing.
Let’s talk about your projectYour team may be copying information between tools, managing requests in spreadsheets, or waiting on software that does not quite fit. We scope a focused solution and build it with clear boundaries, review, and testing.
Inside the build · otto.
An internal Plarnf project, built across email, AI, scheduling, and task management. Select a workflow to see how the pieces work together.
Integration + AI interpretation
otto. connects email intake, AI analysis, and a shared task workflow. The engineering is in carrying useful context across those boundaries.
“Please review the revised scope and send your questions before Friday’s call.”
Messages arrive through connected accounts. Source information travels with the message so the resulting work can be traced back.
Where this can help your businessClient requests, sales follow-ups, and internal intake queues.
Discuss your workflowInteractive illustrations of an internal project. Sample data stays on this page; these examples do not connect to live accounts or run AI.
Choose the workflow, users, data, and intended outcome. Agree on what the tool should do, where it should stop, and which actions need approval.
Use AI coding agents to support development, with human direction and review. Connect the systems needed for the agreed scope.
Check key workflows, access permissions, failure states, and recovery. Document the setup and agree on maintenance responsibilities before handover.
What we can help with
Agentic engineering can accelerate development, but the business problem still leads. We define the intended behavior, review the implementation, and test the work before relying on it.
We can build focused tools for requests, task coordination, reporting, or other agreed workflows. The first version concentrates on the essential user journey and the data needed to support it.
Internal portals · Workflow tools · Custom interfacesWe connect compatible systems so information can move with less repeated entry. Scoping includes data access, failure handling, and how someone can see what happened when a step fails.
API connections · Workflow automation · Failure visibilityWe can design workflows that use AI to organize information, prepare drafts, or suggest next steps. Sensitive actions can require human review, and access is limited to the information needed for the agreed task.
Drafting · Classification · Review and approvalA focused engagement
We agree on priorities, deliverables, and budget before starting. Your engagement can include:
It means using AI coding agents as part of the software development process. People define the requirements, review the implementation, test the result, and decide what ships.
That depends on the agreed workflow. For sensitive actions, we design explicit review and approval steps. Access, data use, and operating costs are part of scoping.
Start with a conversation
Tell us where you are and what you want to change.
Talk about your project