AI Workflow Automation: What Should Stay Deterministic and What AI Should Handle

·3 views

Adding a model to a business process is easy. Turning that model call into a production workflow is the harder engineering problem. A model can classify a request, extract fields from a document, summarize a case, or suggest a response. But it does not automatically know: which user is allowed to initiate the action; which database record is authoritative; whether a missing field should block the process; who owns the next step; what should happen when two systems disagree; or whether an output is safe to accept without review. Those are application and workflow concerns.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

My Server Files Its Own Tickets, Then Waits for My Signature to Heal Itself

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange Servers crash at 3 AM. A human wakes up, SSHs in, types systemctl restart, and goes back to sleep. I wondered if the ticket could do that work instead. Ops Brain is a server that files its own incident reports in Sanity and heals itself, but only after a human approves. The loop: A small Python agent watches my Ubuntu machine.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Telegram-бот с ИИ для заявок: архитектура без лишнего

Типичный запрос малого бизнеса: «Хочу бота, который отвечает клиентам и собирает заявки». Если строить с нуля, легко переусложнить. Разберём минимальную рабочую схему и где в ней место языковой модели. Меню, кнопки, сбор контактов, пересылка заявки менеджеру. Здесь ИИ не нужен вообще: сценарий до 10 веток описывается заранее, работает предсказуемо и дёшево.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Notification Cost Attribution: Structured JSON API Logs for Small SaaS

For a small SaaS app, keep one compact, structured delivery outcome per attempt in the searchable logging service, and move verbose diagnostic context out of that tier before shortening retention. The dominant cost is usually determined by multiplication: attempts per day, bytes per event, indexed-field overhead, and retained days. A simple service is one whose bill can be assigned to a tenant, channel, and outcome without putting message bodies or exception dumps into every record. TL;DR: start with a byte budget and an event budget, not a dashboard tour. Preserve the fields needed to count a

0 comments Read more at DEV Community

ProgrammingDEV Community ·

SaaS App Health Monitoring: Forensic Evidence for Silent Node Cron Jobs

Make every Node.js SaaS app import emit durable completion evidence, then make uptime monitoring alert on its absence only after the expected delivery window. The deciding constraint is incident reconstruction: a green web health endpoint can prove that the app answers requests, but it cannot prove that yesterday's customer-support import fetched records, committed them, and made them searchable. Short answer: for a Node.js SaaS app with US and EU users, combine external uptime health checks with a separate cron missed-run detector; record one terminal event for every scheduled import and page

0 comments Read more at DEV Community