EN
Engineering
Software Engineer
Investigate failures, prepare a tested patch, and hand the diff to a human reviewer.
A review-ready fix, with the evidence attached
PipelinesBuilt into Genosyn
Automation without the improvisation.
Visual DAGs for the glue work that doesn't need an LLM.
Pipelines are deterministic glue: company-scoped DAGs of typed nodes that fire manually, on a secret-token webhook, or on cron. Routines are AI-driven; Pipelines are wire-driven — same result every run, no model call unless you explicitly put an AI employee in the middle of the flow.
Pipelines · Live product storyRunning
- 0114 node types across 4 families
- 02Manual, webhook, and cron triggers
- 0321 Integrations callable as nodes
- 04Every run logged and auditable
Pipelines in practice
Built around outcomes, not demos.
Start with a real role and a real handoff. Genosyn gives the AI Employee the context, access, and review path to finish the work inside your company.
FO
Finance
Finance Operations
Reconcile daily transactions, surface exceptions, and keep the books ready to close.
41 of 42 charges reconciled without manual data entry
MO
Marketing
Marketing Operations
Watch performance, prepare campaign changes, and keep the launch narrative current.
Every campaign decision arrives with current numbers
What ships
Pipelines, end to end.
Every capability is built into the same operating model, with company identity, access, activity, and AI Employees already connected.
A canvas, not a DSL
Drag nodes from a catalog palette, wire edges between handles, configure each node in a side panel. Data flows with {{trigger.body.name}} templates — whole-token values keep their types.
Three ways to fire
A manual Run-now button, incoming webhooks with unique secret URLs, or a 5-field cron schedule on a 30-second heartbeat that advances before firing, so slow runs can't double-fire.
Write into your workspace
Six built-in actions post a channel message, add a todo, create a project, append a Base record, ask an AI employee, or write a journal note — straight into the primitives your team already uses.
Branches, delays, HTTP
If/else branches with color-coded true/false edges, set-variable nodes, delays, and a full HTTP request node with method, headers, and body — responses auto-parse as JSON.
Call any Integration
One node invokes any tool on any connected Integration — Stripe, Gmail, GitHub, Notion, Linear, Airtable, Postgres, Telegram, and more — with the result captured for downstream nodes.
Runs you can replay
Every execution records status, which trigger fired, the payload, per-node outputs, and a step-by-step log. The Runs tab lists the last 50 and auto-refreshes while a run is in flight.
With AI Employees
Where wires meet judgment
Pipelines and AI employees are complements, not competitors. Keep the deterministic 90% on wires and drop a model in only where a decision is genuinely needed.
01
Ask AI employee, mid-flow
One node sends a message to an employee and captures its reply for downstream nodes — a webhook arrives, the employee summarizes or decides, the pipeline carries on deterministically.
02
Routines can pull the trigger
An employee running a Routine can POST to a pipeline's webhook URL, so AI-driven work can kick off wire-driven work.
03
Authoring stays human
Pipelines run as the company and are built by Members in the UI — employee Grants are never bypassed by an employee-authored flow, by design.
Questions
Frequently asked.
How are Pipelines different from Routines?
Routines are scheduled work performed by an AI employee — a model is always in the loop. Pipelines are deterministic DAGs of typed nodes: same result every run, no LLM involved unless you explicitly add an Ask-AI-employee node. Routines are AI-driven; Pipelines are wire-driven.
What can trigger a pipeline?
Three trigger types: Manual (a Run-now button), Webhook (each node gets a unique secret URL and the POST body becomes the trigger payload), and Schedule (standard 5-field cron on a 30-second heartbeat). A pipeline can carry multiple triggers, and each run records which one fired.
Can a pipeline talk to my other tools?
Yes. The Call-integration node invokes any tool on any connected Integration — 21 are registered, including Stripe, Gmail, GitHub, Notion, Linear, Airtable, Postgres, MySQL, ClickHouse, Redis, Telegram, X, Reddit, and LinkedIn. For everything else there's a generic HTTP node.
How do I debug a failed run?
Open the Runs tab: every execution keeps its status, trigger kind, payload, per-node outputs, any error, and a step-by-step log. Safety rails cap runs at 200 steps and delays at 60 seconds, so a wiring mistake can't loop forever.
Do I need to learn a DSL or write code?
No. You build on a visual canvas with a node palette and per-node config forms. Data flows between nodes with {{trigger.body.name}}-style templates, and whole-token templates preserve types like numbers and arrays.
Explore more products
View allAI Employees
Persistent AI teammates with a written constitution, markdown playbooks, and cron-scheduled work — every execution captured as a readable Run.
Workspace
Slack-style channels and DMs where AI employees are real members — @mention one and it joins, replies, and reports back from its Routines.
Tasks
A Linear-style task manager where any todo can be assigned to a human or an AI employee — with an in-review flow that closes the trust gap.
Bases
Multi-table workspaces with typed fields, saved views, comments, and attachments — and 21 built-in tools for granted AI employees.
Put your first AI Employee to work.
Install Genosyn, choose an AI Model, define the role, and schedule the first Routine. The rest of the company can grow from there.