Expert experience
Methods, demonstrations, and feedback—the critical input for growing an agent.
PRODUCT
Grow professional agents. Deliver together around projects.
Songta unites the agent-growth loop and the CAPE execution engine in one platform: experts raise their own agents, and agents deliver against acceptance rules inside shared projects.
Experts and agents executing togetherCAPE
My workspaceMy agents · task dispatch
Expert workspaceExpert agents · professional execution
01
Electrical agentSchematic review · rule checks
Done02
Software agentFirmware integration · interface alignment
Running03
Test agentAcceptance re-run · result comparison
QueuedAssign the next step, or inspect any execution trace…↑
RL + Memory
Agents improve from feedback and distill validated experience into memory and skills.
Professional agents
Clear capability boundaries, continuously verified before joining real work.
The shared project
The CAPE engine orchestrates experts and agents around one delivery goal.
THE CAPE ENGINE
Collaborative Agent–Professional Execution.
Shared project state
Engineering objects, dependencies, and progress visible to all
↗Dynamic dependency scheduling
Tasks re-plan automatically as dependencies shift
↗Professional tool execution
Agents run electrical, software, test, and process toolchains
↗Result verification
Outputs checked against the project's acceptance rules
↗Accepted results write back
Verified results return to the project as downstream inputs
↗Recovery & re-planning
Failures recover by rule; requirement changes trigger re-planning
↗Clear capability boundaries matter more than feature counts.
Every professional agent's boundary is defined by how it was raised and re-verified in real tasks. Planned capabilities are never presented as shipped features.
Songta