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AI Workloads

Transform vague tasks into actionable specs

Task Refinement uses AI to enrich raw task titles with structured requirements, acceptance criteria, edge cases, and implementation hints — automatically, before your team writes a single line of code.

Default output

Everything a well-scoped task needs

From a single task title, the AI produces a complete, structured specification — ready for your team to act on.

Requirements

Detailed, actionable requirements derived from your task description and grounded in your project's existing patterns and constraints.

Acceptance Criteria

A testable checklist that defines done — unambiguously. No more half-shipped features because the definition of complete was unclear.

Edge Cases

Boundary conditions and failure modes surfaced before any code is written — saving hours of debugging and incident response later.

Test Plan

Unit, integration, and end-to-end testing scenarios tailored to the scope of your task — so QA and developers align before implementation begins.

Implementation Hints

Concrete pointers to relevant modules, patterns, and APIs in your codebase — informed by your source code and user input, so developers know exactly where to start.

Before & after

One title. A complete specification.

See what Task Refinement produces from a raw task title with no additional context provided.

Before: raw, unrefined task
Before — raw task

Change the background of the website to green.

No requirements · No scope · No test plan
Review: AI refinement in progress
Refining…

AI is refining this task description

After: AI-refined task specification
After — AI-refined
## Summary
Update the website's background color to green to align with
design or branding requirements. This is a straightforward UI
change that should be applied consistently across all affected
pages and elements.

## Requirements
- Identify the target element(s) whose background should be
  changed (e.g., body/html, a specific container, or all pages)
- Specify the exact shade of green (CSS named color, hex, HSL,
  or a token from the project's existing style guide)
- Apply the change using the project's styling approach (Tailwind
  utility classes, CSS variables, or a shared design token)
- Verify the change is consistent across all major browsers and
  screen sizes (desktop, tablet, mobile)

## Acceptance Criteria
- [ ] Website background displays as green in all views/routes
- [ ] The exact green value is confirmed with stakeholders
      ("green" → a specific value, e.g., #16a34a)
- [ ] Renders correctly on Chrome, Firefox, Safari, Edge
- [ ] Text contrast ratios meet WCAG AA on the new background

## Technical Notes
- Run a contrast checker (e.g., WebAIM Contrast Checker) to
  confirm all text colors remain accessible against the new
  background color

The refined spec is generated in seconds and fully editable before your team acts on it.

Customization

Built to fit your workflow

The defaults work out of the box. When you need more control, every part of the refinement process is customizable.

Bring your own templates

Define the exact structure of a refined task using your own Markdown template. Match your team's issue format precisely — Jira-style, Linear-style, or your own.

Custom AI instructions

Override the default refinement prompt with your own instructions. Tell the AI to focus on security considerations, performance constraints, or domain-specific terminology.

Per-task or per-project settings

Set different templates and instructions per project or override them for an individual task. Flexibility without extra friction.

Opt out anytime

Task Refinement is always opt-in. Skip it for a single task or disable it project-wide — you stay in control of what the AI touches.

Stop shipping half-scoped tasks

Join the early access program and let Kabori's Task Refinement do the spec work so your team can focus on building.