Lowgular · AI strategy, delivered

AI strategy not going as expected? We lease you the talent that delivers it.

The licences are rolled out, the wiki is written, the prompts sort of work, and the return is not there. Greg builds the first version of an agent inside a tool you already run, in weeks, at a fixed price. If it earns its keep, a forward deployed engineer continues it on your team, and you can keep the person. Something to show, not something to explain.

Book a demo with Greg See the work

// Built in public. Every agent below runs for a real team and was recorded as it happened.

Who this is for

For the person who owns the AI strategy and has to show the return, with the team they have.

  • "We rolled out Copilot. Adoption went up. Nothing else did."
  • "The year-end review is coming and I have slides."
  • "We built a wiki and a brain. It sort of works."
  • "We tried to hire the person. The ad is still open."

The way out is not another plan. It is one agent, inside one real tool, with evals that prove it works, built by an engineer who sits with your team and shows progress every week.

How it works

A first version at a fixed price. Then an FDE. Then keep the person.

01

Demo, then scope

Greg shows you one of the agents running, live. You tell him what was promised, what got rolled out, and where the hours still go. Together you agree the scope: which agent, in which tool, what it has to do. No selling.

Free demoWritten scope
02

First version, fixed price, built by Greg

Greg builds the first version of the agent inside your tool, in two to four weeks, for a fixed price agreed at scope. It runs on your data with evals that show it works. You decide what happens next with a working agent in front of you, not a proposal.

Fixed price2 to 4 weeksRuns on your data
03

Continue with a forward deployed engineer

If you want more, we agree on an FDE and a monthly fee. The engineer joins your team for up to six months, widening the agent, building the next ones and training your people, with Greg supervising and a demo every week. Stop any month, keep what was built.

Monthly feeUp to 6 monthsGreg supervises
04

Happy? Buy them out

If you want to keep the person, you pay a recruitment fee and the FDE becomes your employee. The agents, the know-how and the person stay with you. If not, the engagement ends and you keep the work.

Recruitment feeYour employeeYou keep the work either way

The work

Agents that run inside real tools, for real teams.

Each of these was built for a team that needed it, inside the tools they already used, and recorded while it was being built. Most of it at SYZYGY Warsaw, where Greg is Technology Partner. He walks through every one of them on our LinkedIn and YouTube, so you can see how the work is done before you buy a day of it.

// CMS

Magnolia CMS agent

Works inside an enterprise CMS the way an editor would: creates pages, fills components, follows the content model. Every change verified by end-to-end tests, not by trust. Built at SYZYGY Warsaw for a large publisher site.

// DESIGN

Figma agent

Reads Figma files as structured data, not screenshots: layout, variants, tokens. Turns a design into a component contract the engineering team and the coding agents implement against. The design system becomes something an agent can build from.

// BROWSER · OPEN SOURCE

LinkedIn agent

A browser agent that reads LinkedIn the way a person would, developed and scored against a recorded fake of the site so no real account is touched, with traces of every run. The approach works for any tool that has no API. Source on GitHub.

// CODE REVIEW

Code graph agent

The codebase as a graph, built from the TypeScript compiler, queried in Cypher. The agent reviews what other agents wrote against the architecture rules the team actually agreed on, deterministically, before a human looks. Review stops being the bottleneck.

In 2027 more forward deployed engineers join: developers and marketers trained by Lowgular to work this way, deployed to companies that have seen the method work, and bought out when it does.

Lowgular started by training Angular developers and placing them with companies that needed them. The technology changed. The model did not: find strong people, make them better, put them on teams that need them. Today the skill is building AI agents, and we build them ourselves first.

Our history

Times have changed, but the model stays the same.

  1. 2022First developers trained and placed
  2. 2023Gaining momentum
  3. 2024Lowgular Academy
  4. 2025AI disruption
  5. 2026AI agents inside real tools

What could you show by the end of the quarter?

30 minutes with Greg, an agent running live. No slides, no repo access, no commitment.

Book a demo Follow on LinkedIn

Or write to grzegorz@lowgular.io. Marketers and developers who want to learn to work this way: follow Lowgular on LinkedIn and we will invite you to the free training.