Proven and widely used
We do not select a tool because it is fashionable. We check production maturity, support, operating cost, and fit for the system.
We do not select a tool because it is fashionable. We check production maturity, support, operating cost, and fit for the system.
For a clean-slate build, TypeScript across the application can catch many interface and data-shape errors before release.
We keep infrastructure, release, and decision records proportionate to the system so another person can understand the setup.
We prefer practical export, backup, and ownership paths. Critical logic does not go into no-code tools when testing or migration is unclear, and material lock-in is recorded before approval.
AI gets defined data, a failure path, relevant logs, and human approval for sensitive actions.
Defaults for a new build, not a takeover requirement.
Small, reliable, predictable tools.
Relational data you can back up and move.
Client-controlled accounts are preferred and agreed.
Release checks and operating visibility.
Only when live updates are part of the product.
AI prepares defined work for staff to review.
LLM summaries & draftsOCR document extractionSemantic searchRAG over your documentsSupport reply draftsWorkflow assistantsReport summaries
Sensitive actions keep an agreed human approval point.
Human approval flowsSensitive actions wait for a personScoped data access
Relevant inputs, outputs, and approvals are recorded where required.
Audit logs for AI actionsAPI keys under agreed account controlExplainable outcomes