ellul.aiteam@ellul.ai

Proof

Not slideware. AI systems doing real work in production today, designed, built and operated by the engineer you'll work with.

Autonomous agent · In production

An autonomous AI agent that builds, tests and ships, unsupervised

Visit Miniscript

The strongest proof we can offer: an autonomous AI agent that edits code, runs real builds, tests the result headlessly with vision-model judging, and iterates until the goal is met. It runs inside a sandboxed runtime we designed, with every action logged, and it works in production on miniscript.gg today. Most agencies demo agents; we operate one.

  • Multi-step autonomous work: edit, build, test, judge, iterate
  • Hard security boundary: sandboxed execution on an isolated origin
  • Vision-model judging closes the loop without a human in the chair
  • Every run logged and inspectable end to end
  • Running against real users and real incentives, not a demo account

If your brief is an AI that does real multi-step work on its own, this exact shape is already running in production, and you can watch it.

Agent security · Patent pending (UKIPO)

Patent-pending security for AI agents

Visit ellul.ai

Before this was an agency, it was research: a cryptographic control plane that lets AI agents act without ever holding credentials. Secrets are injected at the transport layer and redacted on the way back, humans approve the irreversible steps, and everything is audited. This work is why our automations are safe to leave running.

  • Credentials never enter the AI's memory space
  • Hardware-backed signing on every sensitive request
  • Human-in-the-loop approval gates for irreversible actions
  • Sandboxed code execution in isolated runtimes
  • Streaming redaction of secrets before the AI ever sees them

We work on AI agents at the security and operating-system level, not the prompt level. Your automation inherits that architecture by default.

AI operations pipeline · Production volume

An AI operations pipeline doing the daily work of a content team

Visit Darscover

For a national marketplace, we built and operate the automation that replaces an entire content-operations team: an asynchronous AI pipeline that moderates every uploaded image, writes product descriptions in 14+ languages, ingests partner data feeds on schedule, and runs the messaging journeys. It has processed real customer content every day for years, with no humans doing the repetitive work.

  • AI image moderation on every upload, automatically
  • Descriptions generated in 14+ languages, at listing volume
  • Scheduled data feeds with validation and smart field matching
  • Automated email and SMS journeys that reach the inbox
  • Run monitoring so failures surface before users notice

AI content generation and workflow automation at real volume, with the moderation and monitoring that keep it trustworthy.

Dogfood · This studio runs on it

The automation stack this studio runs on

Visit Our own sales stack

We sell what we use. This studio's own pipeline is fully automated: leads sourced and enriched with an AI research pass that writes the opener, sequences sent and paced automatically, replies detected and routed to a human the moment interest appears. It replaced the Clay, Apollo and n8n subscriptions an agency would normally rent.

  • AI research pass per lead: summary, score, personalized opener
  • Sequencing, suppression and reply detection as owned code
  • Humans pulled in exactly when a real conversation starts
  • Zero per-seat fees, task limits or credit meters

The lead engine and workflow automations in our catalog are the same systems running this business. The outreach that reached you was built by them.

Want this discipline on your automation?

team@ellul.ai