One platform. Framed for your role.
The same supervised runtime, reframed for the seat you sit in. Pick your role and see how JuhJuh works for you.
Your standards. Every AI execution.
200+ integrations, a knowledge graph with 14 categories, and cascading agent instructions turn your team's best practices into every AI execution's default behavior.
4-Level Agent Instructions
Organization, project, team, and developer instructions cascade with inheritance. Define your error handling pattern at the project level and every execution follows it. Override at the team level for backend-specific conventions. Standards flow down. Exceptions stay scoped.
4-level cascade (org > project > team > dev)14 Knowledge Categories with Hybrid Vector Search
Architecture decisions, domain patterns, API contracts, migration history, and 10 more categories store institutional knowledge. 8-signal hybrid search with semantic matching and graph-based ranking. Your agents know about last month's library migration because the knowledge graph connects it.
14 categories with 8-signal hybrid vector searchVersioned Prompt Templates
Templates use placeholder substitution and include directives to inject project context, coding standards, and architectural patterns into every prompt. Write a good template once. Every execution inherits it. Version history shows what changed and when.
75 templates with include directives and version controlLine-by-Line Diff Review
Every AI-generated change surfaces as a structured diff before touching your codebase. Approve individual files, reject sections, or iterate with follow-up prompts. Nothing merges until you say it meets your standards.
File-level approve/reject with rollback6-Persona AI Review
Architect, frontend, backend, security, QA, and PM personas review the same ticket from different angles before a single prompt is written. The security persona catches auth gaps. The QA persona flags missing test cases. You get six perspectives in seconds.
6 AI personas review every ticketKnowledge From Every Execution
Learnings from completed tickets feed back into the knowledge base. When an execution reveals a new pattern or an undocumented dependency, capture it in one click. Future executions inherit that knowledge automatically. Your platform gets sharper with every ticket shipped.
Automatic knowledge extraction from executionsSpecialist Agents Enforce Standards
Security-auditor and code-analyzer agents review every ticket from security and code quality angles. They flag auth gaps, leaked secrets, N+1 queries, and style violations before code reaches your branch. Standards enforcement is automatic. Your review time drops.
Security-auditor and code-analyzer agents on every ticketBrand Voice Enforcement
6 core traits and 15 tone contexts define your team's writing style. Every piece of content the AI produces passes through a humanizer that enforces your voice. Documentation, commit messages, and user-facing copy all sound like your team wrote them.
6 brand voice traits across 15 tone contexts200+ Integrations
Your agents connect to the tools your team already uses. 200+ integrations across 23 categories mean pipelines pull context from your issue tracker, deploy through your CI, and post updates to your channels. No custom glue code. One catalog. Every tool accessible.
200+ integrations across 23 categoriesThey ask three different teammates how to prompt the AI for your codebase. Each gives different advice. Their first PR uses the wrong ORM pattern. You spend an hour in code review explaining conventions that are not written down anywhere.
Project-level agent instructions define your ORM patterns, error handling, and test conventions. The knowledge base contains architecture decisions and migration history. The new developer's first AI execution follows your standards because the platform enforces them.
You reject PRs and add comments explaining the pattern. The developer re-prompts the AI. Sometimes it works, sometimes it does not. You spend more time reviewing AI output than writing your own code.
You add the repository pattern to project-level agent instructions and create a knowledge entry with examples. Every AI execution receives this context. The next 50 tickets follow the pattern without you reviewing each one.
Your team's standards, enforced everywhere.
14 knowledge categories. 75 versioned templates. Standards that cascade.
Go deeper into the platform.
Your team's standards, enforced everywhere.
14 knowledge categories. 75 versioned templates. Standards that cascade.
