Artificial Intelligence
Writing detailed product specifications, user stories, and acceptance criteria is the biggest bottleneck in modern software development. We built Cubedot AI to solve this. It transforms rough concepts into ready-to-code documentation, reducing the manual workload for PMs and Developers by 60%. We are currently in closed testing - join the waitlist now!
Table of contents
Key Takeaways
60% Efficiency Surge: Automated the majority of manual data processing and categorization tasks.
Custom LLM Integration: Moved beyond generic APIs to build a context-aware system tailored to specific business logic.
Dev-Ready Output: Generates structured tasks with Acceptance Criteria, ready for your backlog.
Closed Validation: Currently being stress-tested by product teams; public waitlist is open.
Context-Aware: Understands software architecture, not just text, ensuring technical feasibility.
Waitlist Open: Secure your spot to be notified immediately upon public release.
Background
Every software agency faces the same drain: the time between a client’s "rough idea" and the first line of code. Product Managers and Leads spend countless hours translating vague briefs into structured User Stories, defining Acceptance Criteria, and setting up backlogs.
This manual process is slow, prone to ambiguity, and takes high-value talent away from strategic thinking. We needed a way to accelerate the SDLC (Software Development Life Cycle) without sacrificing quality.
The Solution: An AI engine that thinks like a Product Owner—taking a concept and instantly expanding it into a full technical specification.
Project
From Concept to Backlog: The Architecture
Structured Intelligence
Standard LLMs are great at chatting, but terrible at rigorous systems design. For Cubedot AI, we engineered a pipeline that forces the AI to think in structured data models.
We utilized a modern stack (Python, Vector Databases, and React) to create a system that ingests loose project briefs and maps them against proven software patterns.
The Workflow
Input: You give a high-level feature description.
Processing: The RAG system retrieves relevant UX patterns and technical constraints.
Output: The system generates detailed User Stories, Functional Requirements, and even suggests database schemas.
Review: The PM reviews the generated specs in our UI, tweaks them, and approves them for the backlog. This "Human-in-the-Loop" ensures accuracy while removing 90% of the typing.
Seamless Integration into Agile Workflows
Built for Builders
We didn't just build a text generator, we built a workspace for product teams. Our development focused on integration with existing agile tools.
Export to Reality: The system is designed to push generated stories directly into project management tools (like Linear/Jira), complete with tagging and priority levels.
Iterative Refinement: As you edit the generated specs, the model learns your team’s specific "definition of done," becoming more accurate over time.
This project demonstrates our ability to build complex internal tools that solve specific, high-friction industry problems.
Results
The Impact: Scoping in Minutes, Not Days
Cubedot AI has fundamentally changed how we start projects. Tasks that used to consume a Product Owner's entire week are now drafted in hours.
60% Less Documentation Time: Massive reduction in time spent writing boilerplate tickets and specs.
Consistency: Every user story follows a perfect format, reducing miscommunication with developers.
Focus Shift: Our designers & PMs now spend their time on product strategy and UX, rather than ticket administration.
Get Early Access
Cubedot AI is currently in the final stages of closed beta testing. We are opening a waitlist for forward-thinking companies who want priority access when we launch publicly.
Join the Public Release Waitlist
Need Your Own Custom Solution? Cubedot AI proves that custom software is not an expense; it’s an investment with a rapid ROI.
Whether you want to join the waitlist, or you need us to build a custom AI solution specifically for your business logic, contact Takeaway Reality today. We bring the engineering rigor and creative mindset required to build the future of work.
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