Solution Design Without Generic AI Advice
AI is useful in engineering design when it can see your organisation's knowledge - not when it invents a plausible system you do not have.
Generic AI can propose architectures all day. What it cannot do - unless you give it access - is respect your organisation's constraints, prior decisions, ownership model, and incident history.
Generic AI advice
- Pattern-matching from the public internet
- Ignores local landmines
- Sounds confident either way
- Creates review burden for experts
Context-aware assistance
- Grounded in organisational knowledge
- Surfaces local constraints and prior art
- Points to systems and people
- Speeds experts instead of replacing them
What to demand from AI in design work
- Access to your workspace knowledge via tools your team already uses (including MCP)
- Citations back to organisational context, not only fluent prose
- Help exploring options inside known constraints
- Clear separation between what your org knows and what the model is guessing
Use AI on top of your knowledge
Prodigent connects MCP clients like Claude and Cursor to your workspace knowledge for solution design with real context.
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