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16
AI Design Sprint 16 days

Test the idea.
Learn quickly.

In 16 days, we help you go from “what if” to a working prototype on your real data, with a clear answer about what should happen next.

Talk about your idea See the adoption program →

What you
get

A fast, honest answer about whether your idea is worth building.

A fast, honest prototype process.

No fake demos. No endless discovery. Just enough time to test what matters and decide with confidence.

Best for

Teams exploring a high-potential AI workflow, validating an internal tool, or pressure-testing whether an idea should become a real product.

What We Can Prototype

Tools, workflows, and agents.

AI tools

Internal copilots, research assistants, knowledge tools, content helpers, or role-specific AI experiences built around your actual work.

Workflow automation

Document flows, approvals, enrichment pipelines, handoffs, and repetitive operational work that can be simplified with AI in the loop.

Simple agents

Single-purpose agents that retrieve information, draft responses, classify inputs, summarize data, or trigger one well-defined action.

Complex agents

Multi-step agents with tool use, memory, decision paths, approvals, and integrations across systems when the problem genuinely requires it.

Five steps.
One decision.

From problem to prototype in 16 days.

01

Listen.

Understand the workflow, the friction, and the human context.

02

Focus.

Choose one use case and define what success looks like.

03

Design.

Map the experience, the system, and where humans stay in the loop.

04

Build.

Create a real prototype on your data, not a polished fiction.

05

Decide.

Move forward, pause, or reshape the bet based on evidence.

How We Achieve It

We start with the workflow

Before touching models or frameworks, we map the real task, the human decisions inside it, and the systems the solution must fit into.

We choose the simplest useful architecture

Sometimes a lightweight tool or simple agent is enough. We only move toward complex agent systems when the problem genuinely needs it.

We prototype on real data

This is how we test quality, edge cases, reliability, and the real human experience instead of trusting a polished demo.

We leave with a production path

If the sprint works, you leave with a clearer system design, implementation path, and the confidence to build the right thing next.

Ready to Test?
Clarity, not theater.

If you have an AI idea worth testing, we can help you learn quickly without committing to the wrong thing.

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