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algo trade notes Conversational AI Systems · Est. 2016
algo trade notes - since 2016

Machines that listen and respond with purpose.

We build conversational AI systems that handle real complexity - not scripted demos. Every deployment is shaped around the specific workflows, constraints, and goals of one client at a time.

Conversational AI system interface in active use
The people behind it

Small team, full accountability

Reuben Okafor, Lead AI Systems Architect at algo trade notes

Reuben Okafor

Lead AI Systems Architect

Reuben designs the underlying logic of each conversational system - from intent mapping to fallback handling. He has a habit of stress-testing edge cases before a client ever sees them.

Solvei Brandvik, Conversational Design Specialist at algo trade notes

Solvei Brandvik

Conversational Design Specialist

Solvei focuses on how a system sounds and behaves in real exchanges. She works closely with clients to define tone, phrasing patterns, and the boundaries of what the AI should and should not attempt on its own.

What we work on

Active focus areas

Conversational AI for support workflows, internal knowledge retrieval, and guided decision flows. We also assist teams integrating AI into existing platforms - including environments where backtesting conversation logic before deployment is essential.

How we work

Specificity over speed

AI system architecture planning session
1.

Every project begins with a detailed context session. We ask about your existing tools, the gaps in current workflows, and the kinds of conversations your system will need to handle - including unusual or high-stakes ones.

2.

We build incrementally and test at each stage. For clients in automated environments - whether that involves crypto automation, auto trading bot logic, or structured data flows - we treat conversation backtesting as a standard part of delivery, not an afterthought.

3.

Handoff includes documentation your own team can maintain. We do not build systems that only we can understand. If you need ongoing support, that is a separate agreement - not a dependency we engineer in by default.

Confidentiality as default

Client context, data, and project details stay within the engagement. We do not use past work as portfolio material without explicit permission.

One client at a time

Full specialist engagement means we limit concurrent projects. Availability is honest - if we cannot commit properly, we say so before starting.

Nationwide, no location premium

Clients across Taiwan access the same level of engagement regardless of city. Remote-first delivery is not a workaround - it is how we operate by design.