Agentic Software Studio — Glasgow, UK
Agents Write the Code.
Acceptance Criteria
Write the Rules.
Boutique development studio building financial services, e‑commerce, and developer tooling through rigorous agentic development.
How We Build
Agentic Development.
Unambiguous Outcomes.
The problem with most AI‑generated code isn't the AI — it's the input. Vague requirements produce vague results, regardless of how powerful the model. We've engineered a workflow where ambiguity has nowhere to hide.
User Stories First
Every feature begins as a structured user story. Who needs it, what they need, and why. No feature request survives first contact without this foundation.
Acceptance Criteria, Not Assumptions
Each story carries explicit, testable acceptance criteria. Not "make it fast" — response time under 500ms at p99. Not "handle errors" — retry 3 times with exponential backoff, then alert.
Agents Execute Against Spec
Our AI agents don't interpret vague briefs. They execute against precise acceptance criteria. Every line of code maps to a testable requirement.
Verified, Not Assumed
Nothing ships without verification against the original specification. The acceptance criteria aren't aspirational — they're the definition of done.
$ linearstories import feature.md → Parsing user story... As a portfolio manager I want automated rebalancing alerts So that I can respond to drift within SLA → Extracting acceptance criteria... ✓ AC-1: Alert triggers when drift exceeds 2% ✓ AC-2: Includes current vs target allocation ✓ AC-3: P99 response time under 500ms ✓ AC-4: Audit log entry per alert event → Creating Linear issue... ENG-847 created → Ready for agentic execution █
What We've Shipped
Built In-House.
Battle-Tested in Production.
Products we've built using the same methodology we bring to client work.
Omikuji
Stop Building Oracle Infrastructure.
Start Shipping Features.
CLI tool that simplifies on-chain/off-chain integration with three smart contract primitives. Ship oracle integrations in hours, not weeks.
- Datafeed, Trigger & Off-Chain Compute primitives
- EIP-1559 gas optimisation (20-40% savings)
- Multi-chain EVM support
Linear Stories
Clear Acceptance Criteria
for Every Linear Issue.
Bridges AI agents and engineering teams by converting structured Markdown user stories into Linear issues with explicit, testable acceptance criteria.
- Markdown-to-Linear import & export
- Machine-readable acceptance criteria
- Bi-directional sync
SneakerScan
Know What Your Sneakers
Are Worth.
Scan Nike shoe box labels with your camera and get instant market pricing from live eBay data. Built for resellers who need answers in seconds.
- OCR label scanning with fuzzy matching
- Real-time eBay market data
- Scan-to-price in under 5 seconds
ClickityClank
Project Spaces for
OpenClaw Agents.
CLI tool that provisions project-scoped agent teams on Discord. Deploy specialised agents organised by project with a single command, each maintaining isolated sessions and memory.
- Single-command Discord category, channel & agent setup
- Project-scoped isolation with shared bot accounts
- Plan & preview changes with --dry-run
Work With Us
Let's Build
Something Worth Shipping.
We take on a limited number of projects to ensure every client gets senior-level attention from day one.
or call +44 (0)141 273 8062