The latest articles on DEV Community by Natanael (@natanael_cb72bf926817b1f2). https://dev.to/natanael_cb72bf926817b1f2 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4111565%2Fbd43bb96-1a4b-416c-8237-14daccdaf844.jpeg https://dev.to/natanael_cb72bf926817b1f2 en Natanael Sat, 12 Sep 2026 13:37:26 +0000 https://dev.to/natanael_cb72bf926817b1f2/before-you-build-a-practical-diagnosis-for-commercial-software-proposals-2g4p https://dev.to/natanael_cb72bf926817b1f2/before-you-build-a-practical-diagnosis-for-commercial-software-proposals-2g4p <p>When a software proposal starts with “we need an app,” the riskiest part is often not the code. It is the missing decision about what should be built first.</p> <p>A short technical-commercial diagnosis can reduce that uncertainty before implementation begins.</p> <h2> A five-step diagnosis </h2> <h3> 1. Define the decision </h3> <p>Write the decision the project must enable. Examples:</p> <ul> <li>Should we build a mobile app or start with a web workflow?</li> <li>Is an integration technically feasible with the available API?</li> <li>Which part of the process should be automated first?</li> </ul> <p>If the decision is vague, the implementation will be vague too.</p> <h3> 2. Separate requirements from preferences </h3> <p>Requirements are constraints that must be satisfied: users, inputs, outputs, compliance, latency, integrations and delivery format. Preferences are choices that can change: framework, visual style, hosting provider or optional features.</p> <p>This distinction keeps a small first version from becoming an unbounded project.</p> <h3> 3. Map dependencies and risks </h3> <p>List the external systems, data, credentials, policies and human decisions that the project needs. Mark each dependency as available, uncertain or missing. A risk is useful only when it includes a mitigation or a decision point.</p> <h3> 4. Recommend the smallest credible next step </h3> <p>The output should be actionable: a prototype, an API spike, a requirements clarification, a short audit or a bounded implementation. Avoid promising a complete system before the unknowns are understood.</p> <h3> 5. Define acceptance criteria </h3> <p>A diagnosis is complete when the buyer can check it. For example: requirements are listed, dependencies are identified, risks have mitigations, an architecture direction is recommended and the next implementation step is explicit.</p> <h2> A reusable workflow </h2> <p>I maintain a small downloadable HTML workflow called <strong>Pulse</strong> for diagnosing commercial proposals. It is intended for agencies, local businesses and sales teams. It provides a standalone file, quick-start material and a structured way to turn an unclear request into a focused next step.</p> <p>You can review it here: <a href="https://moralesalerson.gumroad.com/l/pulse" rel="noopener noreferrer">https://moralesalerson.gumroad.com/l/pulse</a></p> <p>The workflow is a starting point, not a guarantee of a business or technical outcome. Review its output against your own requirements before making decisions.</p> business productivity ai webdev Natanael Sun, 06 Sep 2026 02:42:05 +0000 https://dev.to/natanael_cb72bf926817b1f2/digital-product-the-most-profitable-digital-products-to-sell-in-20-guia-practica-1i66 https://dev.to/natanael_cb72bf926817b1f2/digital-product-the-most-profitable-digital-products-to-sell-in-20-guia-practica-1i66 <h1> Digital Product: The Most Profitable Digital Products to Sell in 20: Guia Practica Completa </h1> <h3> 9. AI prompts &amp; workflow systems </h3> <p>AI has created a new category of digital products.</p> <p>Instead of selling information, creators sell:</p> <p>Prompt libraries<br> Automation workflows<br> S</p> <p>En esta guia voy a compartir como puedes resolver este problema de forma practica y eficiente, paso a paso.</p> <h2> El Problema </h2> <p>Muchas personas pierden horas haciendo tareas repetitivas que podrian automatizarse. El tiempo es el recurso mas valioso y cada minuto que ahorras es un minuto que puedes invertir en algo de mayor impacto.</p> <h2> La Solucion </h2> <p>He creado un recurso completo que incluye:</p> <ul> <li>Plantillas editables listas para usar</li> <li>Scripts de automatizacion en Python</li> <li>Checklist de implementacion paso a paso</li> <li>Ejemplos practicos con datos reales</li> </ul> <h2> Como Empezar </h2> <h3> Paso 1: Identifica tu cuello de botella </h3> <p>Piensa en que tarea te consume mas tiempo cada semana. Esa es tu primera candidata para automatizar.</p> <h3> Paso 2: Elige la herramienta correcta </h3> <p>No necesitas herramientas caras. Python es gratuito y puede resolver el 90% de los casos de automatizacion basica.</p> <h3> Paso 3: Implementa gradualmente </h3> <p>No intentes automatizar todo de golpe. Empieza con algo pequeno, verifica que funciona, y luego escala.</p> <h3> Paso 4: Mide el impacto </h3> <p>Compara cuanto tiempo tardabas antes vs despues. Si no mides, no puedes mejorar.</p> <h2> Recurso Completo Disponible </h2> <p>Si quieres ir mas rapido, tengo un recurso completo con plantillas, scripts y guias listas para implementar:</p> <p><strong><a href="https://moralesalerson.gumroad.com" rel="noopener noreferrer">Descarga el recurso completo aqui</a></strong></p> <p>Incluye todo lo que necesitas para empezar hoy mismo.</p> <h2> Conclusion </h2> <p>La automatizacion no es solo para expertos. Cualquiera puede empezar con herramientas gratuitas y unos pocos minutos al dia. La clave es dar el primer paso.</p> <p>Dejame un comentario si tienes dudas — respondo todo.</p> <p><em>Sigue mis publicaciones para mas guias practicas sobre automatizacion y productividad.</em></p> ai productivity automation tutorial