Trillo AI Videos

From Requirements to Blueprint

How Trillo AI Turns Ideas into Production-Ready Software

About this video

Software isn’t about guessing. It’s engineering.

In this video, we walk through how Trillo AI transforms plain-language requirements into structured, production-ready software blueprints step by step.

You’ll see how Trillo AI helps architects, developers, and product teams move beyond vibe coding and adopt a spec-driven, engineering-first approach to building software.

🔍 What you’ll learn in this walkthrough:

How to convert raw requirements into detailed software specifications Editing and refining specs using a chat-based AI architect Generating system architecture across presentation, API, services, and data layers Getting cloud service recommendations and cost estimates Creating AI-generated effort estimates for planning and proposals Publishing a secure, shareable project blueprint for stakeholders

Trillo AI brings structure, clarity, and accountability to modern software development — combining human judgment with AI precision.

If you’re building enterprise applications, planning cloud deployments, or tired of unstructured AI code generation, this video is for you.

From Specification to Design

How Trillo AI Structures UI, Data Models & APIs

About this video

Design is where software ideas turn into real, buildable systems.

In this video, we walk through the Design Phase in Trillo AI, showing how teams move from high-level specifications to detailed UI scenarios, object models, and API definitions—all within a structured, engineering-first workflow.

Rather than jumping straight into code, Trillo AI helps you navigate and refine design artifacts step by step, keeping everything aligned with the original specifications.

What this video covers:

Navigating top-level software specifications and design activities
Understanding how design builds on previously defined requirements
Creating and refining UI scenarios and user flows
Exploring detailed object models and data structures
Defining API endpoints and components
Maintaining clarity across design artifacts without unnecessary rework

This approach helps product teams, architects, and engineers stay aligned—reducing ambiguity, rework, and missed requirements during development.

If you’re looking to move beyond unstructured AI outputs and adopt spec-driven, blueprint-based software design, this walkthrough shows how Trillo AI supports that process.