Run while
you sleep.
Workflows on cron. Tasks on triggers. A background worker that runs scheduled jobs and surfaces results in your dashboard.
How automation gets there
From recurring work
to scheduled runs.
You describe the recurring work
Every Monday morning: pull last week's GA4 numbers, compare to the prior week's KPIs in the Knowledge Graph, flag anything off-trend, draft an exec summary. Or: scan inbound deals daily, enrich each via the data APIs you've connected, score and update the CRM stage.
Ask lynox to capture it
When you're done, ask: "Save this as a workflow." lynox builds the DAG from the actions you just ran. Pattern auto-detection (heuristic, on-by-default) is still experimental — best results today come from explicit capture.
Promote and schedule it
Review the captured workflow, set a schedule — daily, weekly, on cron, or webhook-triggered. lynox runs it autonomously and posts the result to your dashboard.
Execution engine
DAG pipelines.
Not toy automations.
DAG pipeline engine
Steps run in parallel when possible, sequentially when needed. Directed Acyclic Graph execution — the same pattern used by Airflow and dbt.
Cron scheduling
Every hour, every Monday at 9am, first of the month — any cron expression. Workflows run on time, even when you're offline.
Multiple triggers
Cron, webhook, or manual. Combine triggers — the same workflow can run on schedule AND on demand.
Dashboard notifications
When a workflow completes, a deal needs attention, or something breaks — the result lands in your dashboard. (Web-push and email channels are on the roadmap.)
Cost guards
Every workflow tracks token usage. Set daily and per-task budgets — lynox stops before exceeding them. No runaway API bills.
Saved workflows library
Promoted workflows live in a library you can edit, share, and re-run on demand. Capture-as-verb, library-as-noun.
Examples
Real workflows.
From live data.
Weekly KPI review with live data
Every Monday at 8am: pull GA4 + ads + Stripe revenue + DataForSEO rankings, compare against last week's snapshot in the Knowledge Graph, flag anomalies, generate an exec summary in your dashboard.
Ads performance + competitive scan
Every Friday: pull ad-platform stats (Meta, Google), pull competitor sites via DataForSEO, surface where you're losing share, draft a one-pager with recommended budget shifts.
Inbound lead enrichment
Webhook trigger from your lead form: research the company, enrich contact data via enrichment APIs, score the lead against your ICP, update the CRM stage, and surface a notification in your dashboard if high-value.
Strategy review on real data
Monthly: pull analytics, ad spend, CMS content stats, and accounting data, compare against your stated quarterly goals, surface where you're drifting, propose adjustments — no generic AI bias, all live data.