Intelligence
A model is a component. We build the machine around it.
Harnesses, agents, memory, evaluation and the approvals that keep a person accountable. The model proposes; the system decides what is allowed to happen.
In use
The agents we actually run.
Not a catalogue of imaginary assistants. These are the systems working inside Wishflip today, described with their limits as clearly as their abilities.
Meyers_Ai
Coding specialist · built by Wayne Meyer
In developmentMeyers_Ai is a coding-specialist agent created by Wayne Meyer. It reads a codebase before it writes to one, prefers a failing test to a confident guess, and reports what it actually ran rather than what it intended to run.
- Reading an unfamiliar repository before changing it
- Running the test suite and reporting the real result
- Small, reviewable changes over dramatic rewrites
- Explaining a decision in plain language
- It does not deploy to production without an explicit approval step
- It does not hold credentials of its own
- It will say it does not know rather than invent an answer
Full profile →How we build them
The harness, layer by layer.
AI harness engineering
The loop, the tools, the guardrails, the budget.
AvailableAgent design & orchestration
Roles, handoffs, and who is allowed to do what.
AvailableTool & workflow integration
Real systems with real permissions, not demos.
AvailableMemory & context systems
What an agent remembers, and what it is never told twice.
In developmentEvaluation & observability
Scores that mean something on Tuesday, not just launch day.
In developmentHuman approval & escalation
The moments where a person must be in the loop, by design.
AvailableMulti-agent collaboration
Agents that hand off work instead of arguing about it.
In development
Bring us a workflow that keeps breaking.
We will tell you whether it needs an agent, a script, or a person.
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