I help digital product consultancies close that gap in 90 days.
↳ 2-week fixed-price read · £500 Readiness Call credits against Diagnostic
Observed across two production engagements, 2024-2026.
Your team installed Cursor. Velocity jumped — fifteen percent, maybe twenty. Tickets closed faster. Pull requests landed faster. By week six the graphs had flattened. Same team, same tool, same lift.
The ceiling is not the tool. The ceiling is everything around it — the folder layout written for humans, the CI pipeline designed for a human reading failures, the tickets that encode a lead's context instead of an agent's, the rituals built on human-in-the-loop assumptions, the docs that get written when someone finds time.
The orgs shipping three times faster did not discover a better editor. They rewrote the delivery system so that an agent can act on it without retries. Five shifts land together, or you plateau at felt-twenty.
I spent the last eighteen months mapping those shifts inside a production team and inside Obsidian Forge, the studio I built to run on them. That map is what a Diagnostic delivers.
Three days on-site week one. One day on-site week two. Written report: bottlenecks, 30/60/90 patterns, a 12-month roadmap.
The first patterns land. Code structure, CI, ticketing, rituals, docs — in that order, on your codebase, with your team in the loop.
The practice stabilises without me. I leave behind a team that ships AI-DD as default, not as a project.
Every engineering org I've watched install Cursor gets the same 20% bump. None of them stay there. Here's what actually moved the needle — and why it wasn't the editor.
Five places delivery shifts when you rewire around AI: code structure, CI/CD, ticketing, rituals, docs. Before-and-after patterns for each.
Ten years building and architecting software. Eighteen months rewiring engineering delivery around AI — inside a production team and inside Obsidian Forge, the AI-native studio I built from scratch: 22 specialised agents, an MCP-backed knowledge vault, and an AI-DD pipeline I use every day.
At Argos Foundry, the indie VR game studio I co-founded, I led the same shift. In six months three engineers moved from hand-coding features to shipping features, assets, and performance fixes through an AI-DD pipeline — same three people, roughly double the throughput.
Based in Skopje, North Macedonia. Work remote-global. Currently taking fractional AI-DD engagements with digital product consultancies and mid-size engineering orgs — 2-3 days a week, 3-6 month commitments, starting with a Diagnostic or a Readiness Call.
Paid discovery, written artifact, no retainer obligation. The Diagnostic fee credits 100% against the first month of a Transformation Retainer.
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