KAVIA AI uses AI agents to handle software development for its customers. There was no existing product to improve — everything had to be built from a blank page.
I designed it end to end, from the first sketch to an enterprise-ready platform. The team raised $1M pre-seed on what shipped.
Three critical
unknowns
No precedent to follow
- A new category of AI tooling
- No established patterns to borrow
- Expectations set by developer tools
Explaining agent work
- Agents act on their own
- Progress is hard to make legible
- Trust breaks when output is a black box
Enterprise readiness
- Pilot buyers expect maturity
- Reviews, permissions, and audit trails
- Consistency across a fast-growing surface
Goals
- Make autonomous agent work legible to developers
- Design for trust: show the work, not just the result
- Get to enterprise-ready without slowing the team down
- Keep the product looking consistent even while shipping weekly
- Make the product demo well to investors and pilot buyers
Research
- Developers trust what they can inspect
- Autonomy without visibility feels like risk, not speed
- A new category needs familiar mechanics to be adopted
- Investors read polish as evidence of maturity
Strategy into
interface
Agent workspace
A single surface where developers can watch agents work, step into any decision, and take back control without losing progress.
Legible automation
Every agent action explains itself: what it did, why, what it touched, and what to check before it merges.
A reusable toolkit,
built from zero
A shared set of components built alongside the product, so weekly releases stayed consistent and engineers stopped rebuilding the same screens.
- In a new category, the job is comprehension before features
- Showing the work is what earns permission to automate it
- A design system built early pays for itself within months
- Fundraising is a design problem as much as a narrative one
Conclusion
KAVIA AI went from a blank page to a platform enterprise teams were willing to pilot. Designing for legibility rather than magic is what made autonomous agents feel safe to adopt, and it is what the $1M pre-seed round was raised on.