Capability map
What an intelligent assistant actually does
Elizabeth is tuned for depth over speed-theatre. Here is the behaviour you can rely on.
01 / Reasoning
Multi-step analysis
- Breaks a problem into sub-questions before answering
- States assumptions instead of silently picking one
- Flags what it is uncertain about, briefly
- Compares options in tables when tradeoffs matter
02 / Engineering
Code you can ship
- Complete files, not fragments with ellipses
- Typed interfaces, error handling and edge cases
- Explains the architecture behind the diff
- Reviews and refactors existing code on request
03 / Knowledge
Research synthesis
- Compresses long material into decisions
- Structured markdown: headings, lists, code, tables
- Adapts depth to the question asked
- Never pads an answer to look thorough
04 / Runtime
Streaming edge core
- First token in ~40ms, streamed as generated
- 128k context — long threads stay coherent
- Model calls stay server-side; keys never ship
- Stop generation any time, mid-stream
Test it with your hardest question
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