AI Software Development · with engineering partner Evoke AI
AI Software Development
Production AI systems for professional-services firms, designed by Netlifestyle AI and built in collaboration with our engineering partner Evoke AI.
AI agents built to be checked
AI agents built to be checked
The difference between a clever demo and a reliable AI agent comes down to engineering rigour, not prompt wizardry.
- ✓Agentic system design & build
- ✓From AI demos to production reality
- ✓Integration with your existing systems
Evidence
Evidence every build ships with
Every agent we build ships with evidence someone other than its builder can check:
- ✓an action log a non-builder can read
- ✓a documented tool and permission boundary
- ✓a tested human override
- ✓a pre-deployment test window
- ✓a plan for model retirement
How a build runs
How a build runs
1An agreed design. It starts from an Advisory brief.
2Acceptance criteria first. Written against the Manifesto's principles before the build starts, so "done" is unambiguous at sign-off.
3The build.
4Acceptance tests. Run by your evaluator or a reviewer you choose - not the builder.
5Hand-over.
Method
Five engineering disciplines
Five engineering disciplines, first set out in our August 2025 post: Context Engineering · Workflow Engineering · Model Engineering · AgenticOps · Agentic UX
Compared with the defaults
Compared with the defaults
| Option | What it gives you | What it may not give you |
|---|---|---|
| A development shop | Capacity | Builds to a spec, not necessarily to evidence tests |
| A vendor's low-code builder | Speed on one platform | Evidence that isn't the vendor's own |
| An in-house developer | Knows your systems | The builder and the checker are one person |
| A SaaS product | Ready now | You inherit its boundaries - test them before client data goes in |
AI Software Development
Start with the decision, then build.
Scope it first. An Advisory brief sets what gets built and how it will be checked.
AI Agents Manifesto · 2026 edition · Free
Who checks your agent that didn't build it?
Eight principles for deploying AI agents, each with a test you can run inside your own firm. PDF by email.