Finally a solution that will take you from unstructured content to a sound decision.
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Stream Central Product Update: Turning Context into Better Delivery Decisions July 30, 2026 Our July 17 update was about connecting the boardroom to the backlog: decisions, strategy, flow health, and portfolio steering in one product. Since then, we have focused on a practical follow-up question: what does it take to make those signals useful in the […]
Run your studio week by week from one place. Dance studios are full of moving parts: seasons to launch, groups to place, teachers to coordinate, families to keep informed, payments to track, and showcases to produce. Too often, that work still lives across spreadsheets, email threads, chat apps, and a handful of disconnected tools. Dretza […]
Since our last update on April 29, we’ve been heads-down on a question every product and portfolio leader eventually asks: “Great, the team is shipping — but are we shipping the right things, and who decided that?” Eleven weeks. The answer is now three new pillars — Decision Center, Value Stream Operations, and Unified Planning […]
Overview Since our last post, Stream Central has evolved from a more focused product experience into a much broader operating system for planning, delivery, governance, feedback, and organizational coordination. That means product leaders, delivery teams, architects, and executives now have far more of their day-to-day decision-making connected in one place instead of spread across disconnected […]
Last week we shipped solution storytelling, delivery dashboards, and IDE-native planning. This week, we turned our attention to the rituals and signals that make teams actually improve — ceremony orchestration, engineering metrics, readiness intelligence, and organization-wide prioritization. Six days. Here’s what changed. 🎪 Ceremony Management — New Domain PI Planning, Sprint Planning, and Sprint Retrospectives […]
Modern product organizations juggle hundreds of initiatives, features, dependencies, and metrics across multiple tools. Work lives in Jira, GitHub, Azure DevOps, Confluence, spreadsheets—and too often in people’s heads. Leaders feel the impact first: it’s hard to answer simple questions like: – What value streams do we actually have, and who owns them? – Which initiatives […]
The Validation API is a versatile tool for analyzing and validating complex content. With the recent v4 enhancements to the validation/assert-content method, the API can now provide structured, evidence-backed reasoning that incorporates factors — elements that need to be considered when evaluating an assertion and its outcome. Factors can be assumptions, contextual information, or facts […]
Learn how integrating Model Context Protocol (MCP) with Dretza enables AI agents to autonomously query descriptors, understand data relationships, and execute intelligent workflows. This breakthrough makes structured data accessible to LLMs through natural language, powering next-generation agentic applications for product categorization, inventory management, and automated data analysis.
Struggling with massive outcome sets in LLM applications? Instead of overloading your prompts with thousands of options—like SKUs, sizes, or ingredients—use semantic pre-filtering to dynamically narrow choices. This efficient prompt engineering technique reduces token usage, cuts inference costs, speeds up responses, and boosts accuracy by presenting only relevant options to the language model. Optimize your AI workflows by keeping prompts focused and letting your LLM deliver faster, more accurate results.
Discover powerful new capabilities in Dretza’s Extraction API, including natural language filtering, JsonPath-based filtering, and contextual extraction using business objectives and reference data. Learn how to extract only what matters — with precision, purpose, and explainability.
