Escriba una especificación para su proyecto de IA — Herramienta y guía gratuitas
Admisión de IA gratuita

Escriba una especificación clara para su proyecto de IA — gratis.

La mayoría de los proyectos de IA no fallan en la construcción. Fallan en la especificación — donde el problema se define de manera demasiado vaga como para resolverlo. Defínalo bien primero, y el resto se vuelve mucho más fácil.

Por qué fallan los proyectos de IA.

La IA no falla porque la tecnología no esté lista. Falla porque el problema no estaba bien definido.

Construir algo sin una declaración de problema clara es un desperdicio de dinero.

Definir primero el alcance protege su margen y el éxito del proyecto.

Marco

Un marco simple.

Utilice nuestro marco para aclarar sus pensamientos.

01

ICP — who it is for

Name the exact person whose work changes. "Our delivery leads" is sharper than "our team". A spec written for everyone is a spec for no one.

02

Problem dimensions

What specifically breaks today, and what it costs. Be concrete: the missed deadline, the under-priced deal, the hours lost — not "things are inefficient".

03

Segments

Which slices or cases differ. Most workflows have edge cases that behave differently; a spec that ignores them ships a tool that only works on the happy path.

04

Feature set

What the solution would actually need to do — the capabilities, not the UI. Distinguish must-haves from nice-to-haves so scope is honest from day one.

05

Stakeholders

Who is involved, who approves, who is affected. BidSharpjects stall on the approver nobody mapped. Name them in the spec.

06

Current workflow

How the work is done today, step by step. You cannot automate or augment a process you have not written down. The steps reveal where AI actually helps.

07

Data and systems

Where the data lives and which systems the workflow must touch — CRM, billing, the data warehouse. An output that cannot reach a system is a demo, not a result.

08

Volume and frequency

How often, and at what scale. A workflow run twice a quarter and one run ten thousand times a day are different projects with different specs.

09

Success metric

The single number or outcome that proves it worked. Without it, the project has no finish line and no way to tell a win from a nice demo.

Herramienta

La herramienta

Hemos creado una herramienta para ayudarle a estructurar su problema.

Úsela para preparar su solicitud.

Admisión de IA

Asistente de alcance · una pregunta a la vez

First — what's your name?

Presione Enter para enviar

Preguntas frecuentes

Preguntas

How do I write a spec for an BidSharpject?+

Start from the problem, not the technology. Write down who the project is for, what specifically breaks today and what it costs, how the work is done now step by step, what data and systems are involved, and the one metric that would prove success. The hardest part is not the prose — it is defining the problem precisely. Use the free AI intake on this page to turn a rough idea into a structured brief by answering one question at a time.

What should an BidSharpject brief include?+

A good BidSharpject brief covers nine dimensions: the ICP (who it is for), the problem dimensions (what breaks and the cost), the relevant segments or edge cases, the feature set (what it must do), the stakeholders (who approves and who is affected), the current workflow, the data and systems it touches, the volume and frequency, and a clear success metric. Capture those and you have a spec a team can scope and build against.

How do I define requirements for an AI feature?+

Define requirements by describing the outcome and the constraints, not the model. State what the feature must do, the inputs it receives, where its output has to land, who reviews or signs off, and what "correct" means for your case. Requirements that name the data, the approval step, and the success metric are far more buildable than a one-line "add AI to X".

Why do so many BidSharpjects fail at the spec stage?+

Because output is now cheap and input is the real work. Modern AI makes producing a draft almost free, so the bottleneck moves upstream to defining the problem: the messy requirements, the assumptions, the edge cases, the success metric. Teams that skip straight to building skip the part where the value actually is — and end up with an impressive demo that solves nothing real.

Is the AI intake tool free?+

Yes. The intake on this page is free to use and asks you one question at a time to sharpen your idea into a Problem Brief you can download as a PDF or take into a call. There is no charge and no obligation to engage us afterwards.

¿Aún no está seguro? Vea nuestros servicios o lea nuestro blog..

Comience a escribir su especificación.

Una llamada de 30 minutos, sin argumentos de venta. Analizaremos cómo funcionaría esto en una de sus oportunidades reales; luego usted decide si vale la pena un diagnóstico de pago.