Automate any knowledge workflow

Describe what you want to accomplish in natural language. Our DAG Developer generates executable automations that process documents, extract insights, generate reports, and update your knowledge map — all without writing code.

Automations Illustration

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Weeki Automations use directed acyclic graphs (DAGs) to chain skills, tools, and AI operations into reproducible workflows. The DAG Developer can generate automations from natural language intent, taking into account your ontology, knowledge base structure, available skills, and file targets. Run once or schedule recurring executions with full audit trails.

Automations visualization

How It Works

From intent to execution in three steps.

1

Describe your intent

Tell the DAG Developer what you want to achieve — ingest a corpus, generate a report, audit a knowledge base. It understands your context.

2

Review the workflow

The system generates a visual DAG with steps, tools, inputs and outputs. Review, customize, and approve before execution.

3

Execute & track

Launch the automation and monitor progress in real time. Artifacts are generated, placed on the map, and linked to their source data.

What You Get

Cost Reduction

Eliminate repetitive manual processes. Automations handle document ingestion, concept extraction, report generation, and map updates at scale.

Speed Improvement

Turn hours of manual work into one-click executions. Complex multi-step workflows run in minutes with full reproducibility.

Quality & Risk

Every automation run produces a complete audit trail — logs, artifacts, validation reports. Retry failed steps automatically with exponential backoff.

Ready to transform your data into value?

Have questions?

Find Your Answers Here

Do I need to code to create automations?
What can automations do?
Can I schedule recurring automations?
How does the DAG Developer work?