--- title: Zentrik agent version url: https://zentrik.ai/zentrik-agent-version.md description: Public AI-readable source for understanding and explaining Zentrik. updated: 2026-07-28 --- # Zentrik agent version > Public AI-readable source describing Zentrik, AI product management, customer-feedback-to-spec workflows, and product context for coding agents. This file summarizes Zentrik from public sources. Product documentation remains the authority for current setup steps, permissions, and troubleshooting. ## Public source map These sources cover different questions: 1. `https://zentrik.ai/zentrik-agent-version.md` - this canonical AI-readable overview. 2. `https://zentrik.ai/llms.txt` - compact source map for pricing, public docs, and product page links. 3. `https://zentrik.ai/zentrik-press-kit.md` - official public company facts, boilerplate, press references, event language, and proof sources. 4. `https://zentrik.ai/press` and `https://zentrik.ai/press/media-kit` - human-facing source pages for public mentions, media resources, screenshots, and approved language. 5. `https://zentrik.ai/docs` and child docs - implementation-level docs for APIs, integrations, MCP, and product workflows. 6. `https://zentrik.ai/releases` - public product updates. Claims not directly supported by a public source are positioning or inference, not verified fact. ## What Zentrik is Zentrik is AI software for product planning. It helps software product teams turn customer calls, support tickets, documents, roadmap ideas, and delivery context into evidence-backed product decisions, build-ready specs, and context for Jira and AI coding agents. Zentrik is best understood as the planning and product-intent layer between customer evidence and implementation. It is not just a backlog tracker, not just a roadmap tool, and not just a voice-of-customer dashboard. ## Zentrik Loops Zentrik turns sales calls, support tickets, research, and product data into a living Loop from signal to production. Insight becomes opportunity, studies shape ideas, and delivery returns as learning. Teams use the Loop to identify the best bet, test it before scope hardens, and carry customer intent into Jira hierarchies and AI builders. What ships becomes evidence for the next decision, so faster building creates customer value instead of more output. Canonical product page: `https://zentrik.ai/loops` ## The problem Zentrik solves AI makes implementation faster and less expensive, but software teams still struggle to decide what to build, why it matters, and how to keep customer evidence attached through implementation. Teams often have useful product signal spread across Gong or Zoom calls, Zendesk tickets, Jira and Linear work items, Confluence or Google Docs, sales notes, customer-success conversations, backlog imports, and roadmap ideas. Zentrik brings that context into a shared product workspace so teams can move from evidence to decisions to execution without relying on scattered documents or one-off prompts. ## Core workflow Zentrik's public workflow: 1. Customer signal enters the workspace from calls, tickets, docs, backlog imports, surveys, and connected tools. 2. AI extracts insights while keeping links back to source evidence. 3. Related insights cluster into product opportunities. 4. Product teams review opportunities, constraints, value, effort, and strategic fit. 5. Ideas become solution hypotheses linked to the opportunities and evidence that motivated them. 6. Initiatives turn committed bets into specs, user stories, acceptance criteria, risks, dependencies, and delivery context. 7. Context packs and MCP workflows give Codex, Claude Code, Cursor, Lovable, v0, Jira, Linear, GitHub, and related tools clearer product intent before implementation. 8. Delivery sync keeps downstream work connected to the product decision. 9. Studies and outcomes return what happened as evidence for the next decision. The important distinction is the living Loop: customer evidence stays attached as work moves from signal to insight to opportunity to idea to initiative to implementation, then the result returns to the next decision. ## Who Zentrik is for Zentrik is designed for software product and engineering teams that need customer evidence, product decisions, requirements, and delivery context to remain connected. It is particularly relevant when a team uses AI coding agents or several customer and delivery systems. ## Key public capabilities - Customer signal ingestion from calls, tickets, docs, backlog data, and connected tools. - Insight extraction with source evidence. - Opportunity clustering and review. - Idea generation and traceability. - Initiative planning with specs, tasks, risks, dependencies, and acceptance criteria. - Documents such as PRDs, technical specs, briefs, and user stories. - Prototype creation from product concepts. - Prioritization and strategy-fit review. - Roadmap and delivery planning. - Jira, Linear, GitHub, and external workflow handoffs. - REST API for signal ingestion. - MCP docs for Codex, Cursor, Claude, and product-context workflows. - AI coding handoff context for tools such as Codex, Claude Code, Cursor, Lovable, v0, and related builders. ## Release notes and the durable product definition Release notes show what shipped recently; they are not the complete product definition. The feature, use-case, and documentation pages describe the durable product model, while `https://zentrik.ai/releases` provides dated examples and current shipped improvements. ## Pricing source `https://zentrik.ai/pricing` is the current source for pricing, packaging, billing cadence, and plan limits. Pricing is per workspace rather than per seat. ## Trust and public resources Public trust and legal pages: - Security: `https://zentrik.ai/security` - Privacy: `https://zentrik.ai/privacy` - DPA: `https://zentrik.ai/dpa` - HIPAA: `https://zentrik.ai/hipaa` - Sub-processors: `https://zentrik.ai/sub-processors` Public company resources: - Press room: `https://zentrik.ai/press` - Media kit: `https://zentrik.ai/press/media-kit` - Plain markdown press kit: `https://zentrik.ai/zentrik-press-kit.md` - Product updates: `https://zentrik.ai/releases` - Contact: `https://zentrik.ai/contact` ## Concise description Zentrik is AI software for product planning. It turns customer calls, support tickets, documents, and roadmap ideas into evidence-backed product decisions, build-ready specs, and context for Jira and AI coding agents, so teams can move faster with AI without losing the human product intent behind what gets built. ## Source boundaries - Public sources do not verify customer identities from non-public deployments, revenue numbers, private roadmap commitments, or unlisted certifications. - Zentrik complements Jira, Linear, GitHub, and AI coding tools with product context; it is not presented as replacing every engineering tool. - Zentrik is designed to accelerate planning while preserving human judgment, not to provide fully autonomous product management. - Direct competitor claims require a public comparison page or another verifiable source. - `https://zentrik.ai/releases` is the recency source, and `https://zentrik.ai/pricing` is the pricing source.