Running an AI agent on our own agency's helpdesk before offering it to anyone else taught us things a client project would not have. The decisions we would repeat, and the ones we would make earlier.
Every AI consultancy names a framework. Almost none shows one. We publish the Converge Methodology in full, with its artefacts, because a method you can inspect is one you can trust, and because the value is in the running of it, not the secret.
Agentic coding tools change how software is built, but only when the project instructions, standards, review gates and budgets are right. The setup we use ourselves, and recommend to clients.
The difference between a licence and a tool people use is configuration: assistants set up for the recurring work in a function, with its templates, its tone and its rules built in. Six we configure for sales, and the pattern behind them.
An agent that cannot be measured is not ready for production. What an evaluation set is, how to build one with your own experts in a few hours, what to measure, and why it has to run on every change.
The engineering story behind our own helpdesk agent: why a generic chatbot could not do the job, how code and documentation are indexed so retrieval is grounded in the actual build, and the decisions that made it safe to put in front of customers.
Off-the-shelf AI products force your business into their shape. A framework is a proven architecture with the hard parts solved, tailored to your systems in weeks. Here is the difference, and when each is right.