Controlled execution boundaries
Public browser flows stay separate from privileged internal execution paths so trust surfaces remain inspectable and operationally narrow.
About JARO
Operational AI planning with an auditable public surface
JARO is built for teams that need AI-assisted planning without losing control over trust, ownership, or browser-facing operational safety.
Founder story
JARO is being built as a founder-led system for teams that want modern AI planning without surrendering operational clarity. The product direction comes from hands-on implementation of planning, trust, and delivery infrastructure rather than from a detached marketing shell.
The mission is to keep AI-assisted work useful, inspectable, and commercially trustworthy from the first public touchpoint through the authenticated workspace.
Auditability before convenience
Legal, privacy, support, and billing disclosures remain reachable on the public surface before any hosted billing activation or deeper workspace access.
AI with explicit guardrails
JARO is designed around controlled automation, structured system behavior, and clear operator ownership instead of opaque autonomous behavior.
Deployment posture
The current public footprint focuses on trust, lead capture, and browser entry while the authenticated workspace handles planning, chat, and operator workflows behind explicit access gates.
Current stack summary
- Next.js App Router public surface with locale-aware routing and SEO metadata.
- Go backend with explicit internal APIs, auditability, and fail-open operational posture.
- PostgreSQL-centered product core with controlled browser entry and trust-first legal surfaces.
Public trust links
Contact · Pricing · Privacy · Terms
GitHub footprint
Engineering updates and public identity references are anchored through the JAROBOTAI GitHub surface. github.com/JAROBOTAI