Proof
What one expert and AI actually ship.
Every figure below comes from our own measure tool, run against the real codebase: lines of code, pages, endpoints, AI features and commit cadence, counted directly. Client names are withheld; the engineering is not.
PropTech · Client engagement
A market-intelligence platform for letting agents
A public directory and multi-source data engine: it ingests and reconciles property listings across five portals, enriches them against company, EPC and registration data, and grades them with AI. A public site, a data pipeline, and an AI proof-of-concept, delivered end to end.
£25,000 + VAT
fixed price · 8 weeks, one engineer directing AI
A traditional team of 4-6 engineers would take 4-6 months and cost £200K-£400K.
8-16x
lower cost
10-15x
output per engineer
56,348
lines of production code
1,753
lines of tests
15
application pages
6
external integrations
8
AI capabilities
675
commits / 48 working days
DORA Elite throughout: 13-minute median commit interval.
More from the workbench
Products built in-house with the same model. They show the range and scale one expert and AI can hold, costed against what a traditional team would charge to build the equivalent.
Cybersecurity · SaaS
A cybersecurity guidance and posture platform
A multi-tenant SaaS with RAG-grounded AI security guidance, automated risk suggestions, and a large application surface.
- prod LOC
- 104,195prod LOC
- test LOC
- 6,822test LOC
- pages
- 52pages
- API endpoints
- 204API endpoints
- AI capabilities
- 10AI capabilities
Equivalent to a £300K-£600K traditional build. Delivered solo + AI, roughly 5-7x faster.
Cybersecurity · Endpoint
A real-time ransomware detection engine
Filesystem-monitoring ransomware detection, network anomaly detection and key-material preservation, behind a heavily automated CI pipeline.
- prod LOC
- 32,325prod LOC
- pages
- 9pages
- endpoints
- 9endpoints
- AI capabilities
- 6AI capabilities
- CI/CD steps
- 133CI/CD steps
Equivalent to a £300K-£500K traditional build. Delivered solo + AI, roughly 5-7x faster.
Legal-tech · Stealth
An AI legal-workflow platform
Recursive legal-issue decomposition with structured tool use, and case-law retrieval grounded in vector embeddings.
- prod LOC
- 22,172prod LOC
- pages
- 17pages
- API endpoints
- 50API endpoints
- AI capabilities
- 10AI capabilities
- commits
- 209commits
Equivalent to a £200K-£400K traditional build. Delivered solo + AI, roughly 5-7x faster.
How this is possible
- One senior engineer with AI replaces a coordinated team. No handoffs, no context switching, no ceremonies.
- AI writes code, tests and documentation alongside features. The engineer directs and reviews, applying 20+ years of judgment to every decision.
- Proven infrastructure patterns are reused across engagements. No ramp-up, no architecture debates.
- Fixed price, with scope committed up front.
How we measure
The scale figures (code, pages, endpoints, integrations, AI features, commits) are counted directly from each project's git history and infrastructure by our measure tool. Nothing is estimated.
The traditional-team comparison is benchmarked against published 2026 UK contractor rates and project data. The elite-team-plus-AI midpoint is extrapolated from reported productivity research and should be treated as indicative. Our cost benchmarks are currently based on a small number of completed projects and will be refined as more engagements complete.
AI API spend, third-party vendor spend, and documentation effort are tracked separately and are not included in these figures.
Have a build in mind?
Send us your spec or idea. We'll come back with a clear scope and a fixed-price proposal. No obligation.