Articles
What we've learnedbuilding software.
Guides on custom software, automation and artificial intelligence, written from the way we work.
Off-the-shelf or custom software: how to decide with clear criteria
Not every problem calls for a new system. These are the criteria we use to recommend a market tool, a custom system or a combination of the two.
What a software MVP is and how to validate a system
An MVP is the smallest version of a system that solves a real problem and can already be used. See what separates an MVP from a prototype, how to choose what goes in and how to tell whether it validated.
Software scope: how to define what the system will do
A good scope says what the system needs to solve, for whom, and what is left out. See what it contains, how to prioritize, and how it becomes a schedule.
Product discovery: what it is and what it is for in software
The discovery phase is where you decide what to build before building it. See what happens in it, what it delivers and when you can skip it.
How long it takes to develop a custom software system
The timeline depends less on technology and more on the problem, the integrations and how much of the scope is already clear. See what weighs in, how each phase counts and how to reach a working version sooner.
How to hire a software house: questions and contract
A polished portfolio does not guarantee a well-run project. This guide covers the questions for the first meeting, the signs that separate a good proposal from a risky one, and what the contract needs to say.
Software house or in-house development team?
Hiring a software house and building your own team solve different problems. This guide compares the two models, shows when each one makes sense and how to combine them without creating dependency.
Source code ownership in custom software
The law gives a starting point, but the contract settles the question. Here is what it needs to say, what to ask for at handover and how to keep the freedom to switch vendors.
Legacy system modernization: how to do it without stopping operations
An old system does not have to be replaced all at once. These are the signs that it has become a risk, the possible strategies and how to migrate while the operation keeps running.
Software procurement for public agencies: a practical guide
A roadmap for public servants and managers who need to procure a system: what comes before the bidding, what the terms of reference must say and how to oversee delivery.
How to automate processes with AI without losing control
AI saves reading and typing, but the decision stays with your team. A step-by-step guide to choosing what to automate, when to use rules or AI, where to put human review, how to handle data and how to measure the gain.
Which processes to automate first: how to choose and prioritize
Volume, repetition, clear rules, cost of error and available data decide where to start. A guide with a prioritization matrix, examples by department, a pilot checklist and what is worth leaving out.
Systems integration: how to integrate your ERP with other systems
API, webhook, file, intermediate database or bot: how to choose the way to integrate, what to assess first and how to keep the integration from failing silently.
AI agents for businesses: what they are and how to use them safely
An AI agent decides the next steps and uses tools to complete a task. We explain how it differs from a chatbot and from automation, where it helps and how to start with clear limits.
WhatsApp chatbot with AI for customer service: a practical guide
A guide to deciding what the bot takes on, where it stops and how to connect WhatsApp service to your company's calendar and systems, with the data protection care the channel requires.
LGPD and artificial intelligence: how to use AI with personal data
Brazil's data protection law (LGPD) does not forbid using artificial intelligence, but it requires knowing which data goes in, on what legal basis and where it goes. We gathered the points to watch and a checklist for before putting AI into production.
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