qarunbook vs siift: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of qarunbook and siift — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

qarunbook

Freemium

qarunbook is an app testing runbook where AI drafts a test plan from your code and your team or AI works through it, tracking issues and retests.

AI-Drafted Test Plans: The /test-checklist skill looks through your app and drafts checks with steps and expected results already filled in.
MCP Connection: Connect Claude Code, Claude Desktop, Codex, Cursor or any MCP client so the assistant can read the plan and record results.
Issue-to-Check Linking: Every issue sits on the check that found it with the affected platforms, and raising one removes the pass.
Retest Flow: When an issue is fixed the check waits for someone to look again before being marked passed.
Roles and Join Links: Give people access to only the projects they need and invite whole groups with a join link.
Multi-App Workspaces: Keep each app's sections and platforms separate so web, driver and marketing sites are tested side by side.
GitHub and Linear Integration: Connect issue trackers so problems found in testing flow into existing engineering workflows.
QA Runbook Skill: The /qa-runbook skill works through the plan on web and mobile, recording each result and re-checking fixes.

Release Testing: Run a structured test plan before each release across web, Android and iOS.
AI-Assisted QA: Let a coding assistant execute checks and record pass/fail results through MCP.
Team Test Coordination: Split test checklists among teammates and see progress and results in one workspace.
Regression Follow-up: Track bugs against specific checks and retest them after fixes ship.
Solo Developer Testing: Generate a test plan from the codebase so a one-person team knows what to check.
Agency Multi-Client QA: Manage separate apps and clients with scoped access and a flat workspace price.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.