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Supported AI models on Workik
GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5, GPT 4.1 Mini
Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro, Gemini 2.5 Flash
Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet, Claude 3.5 Haiku
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Generate Smart DAX Instantly
Build precise formulas for KPIs, time intelligence, and dynamic measures directly from your data model using AI.
Fix Context & Filter Logic
AI detects CALCULATE, FILTER, or relationship errors—then rewrites formulas to restore correct context behavior.
Easily optimize Performance
AI analyzes DAX expressions, identifies slow iterators, and suggests efficient alternatives for faster report refreshes.
Reuse & Explain Complex Formulas
AI documents DAX logic line by line, creates reusable snippets, and adapts measures across multiple reports.
How it works
Get started in seconds with a simple email or manual sign-up to create your workspace.
Connect GitHub, GitLab, or Bitbucket and add Power BI DAX-related context like schema definitions, formulas, or code files for accurate AI output.
Generate, debug, optimize, and explain Power BI DAX formulas effortlessly using Workik’s intelligent AI assistance across all your projects.
Invite teammates to collaborate in shared workspaces or automate repetitive Power BI workflows for consistent results.
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TESTIMONIALS
Real Stories, Real Results with Workik
"I use Workik to refactor old DAX scripts across multiple reports. It keeps my Power BI models clean, fast, and consistent."
Harrell Reeds
Power BI Consultant
"Workik’s AI-driven documentation is a game-changer. It explains formulas so clearly that onboarding new devs is effortless."
Rebecca Lin
Power BI Team Lead
"I love how easily Workik optimizes my Power BI models. It refactors old DAX logic without breaking anything."
Amita Anand
BI Developer
What are the most popular use cases of Workik’s Power BI DAX Formula Generator for developers?
Workik AI assists developers with key Power BI DAX tasks, including but not limited to:
* Generating DAX measures and calculated columns from natural language prompts using model-aware context.
* Debugging inefficient or broken DAX formulas and suggesting optimized, high-performance alternatives.
* Explaining nested or complex DAX logic in plain language for faster comprehension and documentation.
* Refactoring legacy DAX scripts into modular, maintainable expressions aligned with best practices.
* Automating KPI and time intelligence formula creation for metrics like profit margin, growth rate, and rolling averages.
* Validating model dependencies and optimizing relationships to reduce query time and improve report performance.
How does context-setting work in Workik’s Power BI DAX Formula Generator?
Adding context is optional, but it helps Workik AI personalize responses based on your Power BI project setup. You can add:
* GitHub, GitLab, or Bitbucket repositories to give AI access to your DAX scripts and data models.
* Power BI table schemas (JSON/CSV) to let AI reference actual tables and column names.
* DAX scripts or Excel files to align new formulas with existing measures.
* SQL schemas or database blueprints for model-aware formula generation.
* API blueprints or configuration files for integrated Power BI automation.
* Custom notes or documentation to guide AI outputs for specific business logic.
How does Workik AI enhance Power BI DAX formula creation beyond the default Power BI experience?
Workik AI goes beyond Power BI’s built-in editor by providing context-aware formula generation. Developers can describe what they want in plain language such as “Calculate YTD Sales Growth excluding discounts,” and Workik AI instantly generates a precise DAX expression. It understands table structures, relationships, and filters, producing accurate logic without trial-and-error coding.
How does Workik AI optimize DAX formulas and enhance query performance?
Workik AI identifies bottlenecks in existing DAX logic such as inefficient iterators, redundant filters, or overused CALCULATE functions and rewrites them for faster execution. It also improves real-time query performance in dashboards by optimizing functions like SUMX, FILTER, or ALLSELECTED, resulting in faster refresh times and smoother interactivity.
Can Workik AI assist with Power BI data modeling tasks?
Yes. Workik AI acts as a logic architect for your data models. It helps draft SQL schemas, define relationship logic, create hierarchies, and suggest calculated columns. For example, you can ask it to “Create a one-to-many relationship between Sales and Customers,” or “Add a hierarchy for Product Category → Subcategory → Item.”
Can Workik AI explain and document my DAX formulas automatically?
Yes. Workik AI reads your DAX formulas and creates clear explanations and structured documentation. It translates nested logic into easy-to-understand language, making onboarding, audits, and handovers much faster for teams.
Can I use Workik AI to migrate DAX formulas across Power BI models?
Absolutely. Workik AI automates DAX formula migration between different models by mapping and adapting table names, schema references, and dependencies. For example, moving formulas from a RegionalSales model to a GlobalSales dataset takes seconds with AI assistance.
Generate Code For Free
Power BI Question & Answer
Power BI DAX is a formula and query language used in Microsoft Power BI, Excel Power Pivot, and Analysis Services Tabular models. It enables developers to create custom calculations, measures, and data models that drive analytics and business insights. DAX combines functional programming concepts with relational data logic, supporting complex computations, time intelligence, & conditional analysis across massive datasets in real time.
Popular frameworks, tools, and libraries in Power BI DAX development include:
Data Modeling and Management:
Power BI Desktop, Tabular Editor, DAX Studio, SQL Server, Azure Synapse Analytics
Data Transformation:
Power Query (M Language), Excel Power Pivot
Performance and Optimization:
VertiPaq Analyzer, ALM Toolkit, Performance Analyzer
Integration and Automation:
Azure Data Factory, Power Automate, GitHub, PowerShell Scripts
Documentation and Testing:
DAX Formatter, Workik AI, DAX Guide
Power BI DAX is used across industries and analytics workflows for:
Business Intelligence Dashboards:
Build interactive dashboards with KPIs like Revenue Growth, ROI, & Churn Rate.
Financial Analytics:
Model complex calculations like YoY growth, forecasting, and profitability ratios.
Operational Reporting:
Measure efficiency metrics such as lead time, resource utilization, or downtime.
Customer Insights:
Segment customer behavior, compute retention, and predict churn using DAX logic.
Data Modeling:
Create relationships, hierarchies, and calculated tables for deeper insights.
Real-Time Monitoring:
Build dynamic reports that update automatically using Power BI Service & DAX measures.
Power BI DAX offers professionals a path into data analytics, business intelligence, and data engineering roles. It is widely used by Power BI Developers, Data Analysts, BI Engineers, Data Modelers, and BI Architects to design and optimize analytical models. Mastery of DAX also opens opportunities in data governance, performance tuning, and Azure-integrated enterprise analytics, as organizations increasingly depend on DAX for scalable, insight-driven reporting.
Workik AI accelerates Power BI DAX workflows through AI-assisted generation, debugging, and documentation. Its key capabilities include:
Formula Generation:
Create DAX measures, calculated columns, and KPIs from plain-text prompts.
Debugging Assistance:
Detects syntax errors, optimises logic, and improves formula performance.
Data Modeling:
Suggest relationships, hierarchies, and calculated fields for better model design.
Performance Optimization:
Identify redundant calculations and refactor DAX expressions for faster dashboards.
Documentation:
Auto-generate readable explanations for formulas and datasets for easier collaboration.
Automation:
Integrate with GitHub, GitLab, or Bitbucket to automate validation, refresh, or documentation workflows.
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