Answered before you ask.

Scoped and priced up front after we understand the process it serves: no hourly meter running into fog. Small internal tools and large platforms are different animals; both get a written number before we start.

First working software in weeks, not months. We ship in visible stages you can use, so if a piece is wrong we both find out early.

You do: code, accounts, servers and data. We build so the work survives us leaving, and hand over keys and documentation.

Node.js and TypeScript for services, Next.js and React for interfaces, Laravel and PHP where it fits, MySQL and Redis underneath, Three.js when 3D carries meaning. The same stack this site runs on.

Yes, after an honest audit. Sometimes the verdict is "maintainable", sometimes "rebuild this one part", occasionally "walk away". You get the reasons and the ranked list either way.

Fixed price for scoped builds, a monthly retainer for operation and evolution. Surprises are our risk, not yours. That is what scoping is for.

Either a proper handover: docs, training, keys, or we keep operating it: hosting, monitoring, tested backups and patches. Most clients choose the second, because software needs attention, not just launching.

That is half our work: marketplaces, couriers, payment providers, accounting, WhatsApp: connected with retries and failure alerts, so a broken sync tells a human instead of hiding.

Whatever your team repeats identically every day with clear rules: order confirmations, follow-ups, report generation, reconciliation. We rank candidates by hours saved and by risk if automated wrong.

Every engine ships with thresholds, spend caps, a kill-switch and an audit log. Automation acts inside written limits; humans decide the exceptions. That is a design rule we do not sell around.

It removes the repeated typing, not the judgement. Teams end up handling exceptions and customers instead of copy-paste. The work that actually needs a person.

Yes: order flows, confirmations, follow-ups and daily operational digests through the WhatsApp Cloud API. Our own operation runs this way every day.

Every run is logged and the engines report their own numbers: sent, recovered, failed, skipped. An automation that cannot prove it ran does not go live.

Depends on how many systems it touches. Single-flow automations are small projects; cross-system ones are scoped like software builds: always a written number first.

That is the discipline: one respectful nudge that resumes from where the customer stopped, claimed before sending so it can never double-fire. Nagging is a bug, not a strategy.

Usually yes: spreadsheets become the input, then gradually the system of record moves somewhere sturdier. We migrate in stages so work never stops.

Not if it is built with guard-rails: ours answer from your approved content, and price or policy claims are validated in code before sending. When the AI does not know, it says so and fetches a human.

Claude for customer-facing and agent work, chosen per task and per cost. Model choice is an engineering decision we make openly: you see what runs and what it costs.

From your real material: approved answers, transcripts, policies and prices. Unanswered questions queue for your approval and become new curated answers. Nothing is learned silently.

On request, on anger, on confusion, and on anything outside its brief. The bot also goes quiet the moment a human replies: two voices never talk over each other.

Model usage is metered per conversation and capped by budget rules you set: the system warns before ceilings, and customer-facing replies are protected first. You see the spend daily.

Within limits, yes: watching campaigns, drafting reports, proposing actions that queue for your approval. Autonomy is scoped in writing, capped in code and fully audit-logged.

No. Your data stays in your systems; the model is called with what a task needs and API-provider terms we use do not train on your business data.

For some tasks, honestly yes. Where it pays today: answering repeated customer questions, drafting inside guard-rails, and reading volumes no human will. We will tell you which side your use-case is on.