Clarification loops
Each person works through the problem with their own AI, in their own tab. Product, design, and engineering never see the same reasoning, so the same questions come back mid-build.
Between human intent and agentic execution
Where AI-native teams decide what to build
Your team already thinks with AI, in private chats the rest of the team never sees. Kairo is the product layer where that thinking becomes shared with the whole team, grounded in your codebase, and wired straight to your coding agents.
Now piloting with select teams · Public launch November 2026
The new bottleneck
Coding is no longer the constraint. Deciding what to build is.
Once coding agents accelerate implementation, the pressure moves upstream, to deciding what to build.
Copied from tool to tool
Decisions end up spread across a chat, a doc, a ticket, and a prompt. Every copy loses context, and the requirement drifts from the code it describes.
The why gets lost
The options weighed and the reasons behind a decision vanish with the conversation. Whoever builds next, human or agent, gets the conclusion without the reasoning.
“If you can orchestrate twenty, thirty, fifty agents running in parallel, the difference between mediocre output and exceptional output comes down almost entirely to the quality of your specification.”
What changes with Kairo
Grounded, shared, and wired to your agents
Everything you ship starts as a change request: a feature, an improvement, a technical fix, or a bug. Kairo helps your team think it through and settle it in a spec everyone agrees on, which any coding agent can then execute.
Grounded in the codebase
Your codebase is already a spec. Kairo reads it, so every new requirement is anchored to what really exists.
Sharpened with AI
Kairo's AI flags what is still ambiguous and helps turn fuzzy intent into clear, high-quality requirements in an interactive dialogue.
Collaborative by design
Product, design, and engineering iterate on requirements and plans together. Everyone, humans and AI, works from the same live source of truth.
Wired to your coding agents
Coding agents read each change request's definition, plan, and linked context directly through Kairo's MCP server, whichever agent your team uses.
How it works
Move at AI speed without losing coherence
An AI-native SDLC in one loop: from a half-formed idea to shipped, reviewed, documented work, with an AI skill at every step.
01
Capture intent
Open a change request and describe the outcome. Kairo asks the questions a senior engineer would, and a skill turns the answers into a structured definition.
02
Align as a team
Product, design, and engineering refine the spec and settle open questions, so nothing ambiguous reaches execution.
03
Plan and hand off
Kairo drafts the technical plan, and any coding agent reads the definition, plan, and linked context through Kairo's MCP server.
04
Review what shipped
Check the implementation against the acceptance criteria defined up front, and keep documentation aligned with what shipped.
Every change request on one board: defining → ready → building → done
From user to shipped
Your users are part of the loop
Kairo connects your users to the same workflow your team runs. Their feedback becomes a suggested change request, your team decides what to build, and AI helps ship it.
Contributors, not full access
Invite customers, stakeholders, or domain experts as Contributors. They submit features, improvements, and fixes without seeing your internal workspace.
Suggestions land on your board
Each submission becomes a suggested change request in its own column. Overlapping requests merge into existing ones, so demand adds up instead of piling up.
Everyone knows where it stands
Contributors follow their own suggestions through a simple status: submitted, accepted, done, or not accepted. Your team keeps the final say.
user feedback → suggested change → team validation → spec & plan → AI-assisted delivery
Who it's for
Built for the whole product team
Product managers
Think further, decide with confidence
Explore options with AI, get engineering-level answers about the codebase in seconds, and spend less time translating ideas into tickets.
Engineering leaders
Get decisions you can build on
Product decisions arrive already weighed against the codebase and agreed by the team. Fewer clarification loops, and coding speed turns into delivery speed.
Founders
An operating model for the agentic era
Your team can build much faster. Kairo helps you decide what to build just as well, with a lightweight product-to-engineering workflow and no process overhead.
Your developers are coding faster with agents. Help your product team keep up.
Kairo is piloting with a small group of product and engineering teams ahead of public launch in November 2026. If your team ships with coding agents, we'd like to build with you.