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building kai blog keboola skip to content next week data apps workshop 2 june reserve a spot solutions product resources customer stories pricing solutions financial intelligence financial data automation data consolidation every erp one source of truth esg sustainability reporting vppa energy procurement analytics industries marketing agencies client reporting analytics retail ecommerce omnichannel data financial services banking fintech hospitality qsr restaurant hospitality analytics customer story how home credit automated financial reporting learn more data management keboola platform end to end data platform data streams real time data ingestion data templates pre built data pipelines connectors 300 integrations change data capture cdc for databases transformation sql python r more flow builder visual pipeline builder ai applications applications build custom apps mcp server ai model integration kai your ai data engineering assistant data governance active metadata metadata management opentelemetry otlp endpoint into storage security enterprise security data catalog data discovery activity center monitoring logging new keboola mcp server connect ai agents to your data learn more education resource hub guides whitepapers events webinars live on demand blog news tutorials newsletter stay updated developer resources changelog what s new documentation technical guides developer portal api sdk data academy free courses contact contact us get in touch partners partner ecosystem careers join our team on demand webinar why your board sees different numbers than you do learn more login try now book a demo solutions solutions financial intelligence financial data automation data consolidation every erp one source of truth esg sustainability reporting vppa energy procurement analytics industries marketing agencies client reporting analytics retail ecommerce omnichannel data financial services banking fintech hospitality qsr restaurant hospitality analytics product data management keboola platform end to end data platform data streams real time data ingestion data templates pre built data pipelines connectors 300 integrations change data capture cdc for databases transformation sql python r more flow builder visual pipeline builder ai applications applications build custom apps mcp server ai model integration kai your ai data engineering assistant data governance active metadata metadata management opentelemetry otlp endpoint into storage security enterprise security data catalog data discovery activity center monitoring logging resources education resource hub guides whitepapers events webinars live on demand blog news tutorials newsletter stay updated developer resources changelog what s new documentation technical guides developer portal api sdk data academy free courses contact contact us get in touch partners partner ecosystem careers join our team customer stories pricing book a demo try now login the governed data foundation cfos deploy before ai clean connected auditable across every entity every erp every system you already run stay in the loop monthly product updates customer stories and cfo office insights no spam subscribe nospamwepromise product platform overview flow builder transformation ai agent security integrations pricing solutions financial intelligence esg reporting qsr 360 retail ecommerce financial services use cases resources blog customer stories resource hub events webinars faqs help center developers status company about keboola jobs contact 2026 keboola all rights reserved legal privacy terms cookies policy change cookies settings product building kai david esner product management ai team lead feb 17 2026 7 min read on this page 0 01 the challenge building a real data engineering agent 02 our approach tooling and context first 03 what is kai 04 top use cases from private beta 05 try kai today on this page 0 01 the challenge building a real data engineering agent 02 our approach tooling and context first 03 what is kai 04 top use cases from private beta 05 try kai today read with ai ask chatgpt ask claude markdown last week we publicly released kai our in platform ai assistant a data engineering agent that can build integrations write transformations debug failures and document your entire project i m extremely proud of the team and what we ve delivered yes everyone has an ai assistant now but most are chat wrappers that look great in scripted demos and fall apart with real work building something that actually helps our users day to day is a different challenge entirely and that s what we set out to solve in this post i ll share the challenge our approach and what kai can actually do for you today the challenge building a real data engineering agent from the beginning our goal was to build a data engineering agent capable of managing the entire lifecycle of data processing within keboola keboola is a flexible platform there are usually multiple ways to solve any problem and experienced users can build sophisticated pipelines quickly but that flexibility comes with complexity projects grow organically team members change and even experienced engineers can get lost when inheriting someone else s work or debugging a pipeline they didn t build we wanted to give every user an ai keboola expert one that understands the platform deeply and can guide you through any use case just like having our most experienced consultant by your side our approach tooling and context first building a useful ai agent with such comprehensive capabilities is difficult we realized early that an agent is only as good as its tooling and the context it has to achieve its goal without the right abstractions even the smartest model will struggle to do anything useful so we started by focusing on the tooling itself we were early adopters of mcp model context protocol an emerging standard that lets ai models interact with external tools and data and invested significant effort in building the right abstractions for working with keboola after months of internal use and private beta testing our mcp server was officially released in june 2025 and for many of us it transformed the way we work with data with that foundation in place we moved on to embedding our own agent directly within keboola context aware and helpful to any user with the mcp tooling at its core what is kai kai is an embedded ai assistant a data engineering agent that understands your data transformations flows and configurations it can help you explore build and debug always with your approval unlike generic ai assistants kai is context aware it knows where you are in the platform and what s happening in your project so it can proactively suggest relevant actions rather than waiting for you to explain everything we built kai with three principles in mind guidance safety and control guided workflows your job failed open kai type fix it and it will guide you through the process with follow mode enabled the default kai navigates you through the pages it s working on so you can see changes in real time disable it if you prefer kai to work in the background while you do something else safe development with branches kai can work in development branches ensuring it doesn t affect production review all changes before merging them back just create a development branch and start as many kai sessions as you need full transparency and control kai asks before performing any action that modifies your project and displays a diff with proposed changes you always maintain control over what it does top use cases from private beta since kai became available it s changed how we work in keboola i personally use it for feature adoption tracking and product analysis i don t write code anymore and honestly i ve even moved away from our internal bi system when i need something i just ask kai to create a keboola data app that covers exactly what i need then share it with whoever needs it here are the top use cases from our private beta users 1 project understanding onboarding when joining an existing project or inheriting someone else s work kai helps you understand what s already built explaining the data model tracing lineage and showing how transformations connect it really does save time things that would have taken me two days i had done in three hours analytics lead private beta user 2 data app creation need a quick dashboard or report ask kai to create a keboola data app in streamlit it handles the code you review and deploy then share it directly with business users who want the insights 3 integration setup custom connectors need to connect a new data source kai can set up extractors configure destinations and even create custom python components when a native integration doesn t exist when i have a new api and api documentation i say make me a python extractor and i m done it s absolutely great for that data engineer private beta user kai reads the api documentation builds the extractor debugs it and provides end user documentation all in one conversation 4 sql python transformations from simple sql queries to complex multi step transformations kai can write optimize and debug your transformation logic when i need some bigger more complex script that s what i use it for analytics lead private beta user it understands your existing data model and coding patterns creating transformations that fit seamlessly into your project 5 error debugging troubleshooting when something breaks kai helps you fix it fast it can analyze job failures resolve configuration errors investigate data quality issues and debug api authentication problems 6 documentation metadata management kai can generate comprehensive project documentation explaining flows transformations and data dependencies ready for onboarding or knowledge sharing i wanted to create a mermaid diagram showing exactly where data flows from first table to last i use it to generate markdown with the process description and the sql script underneath analytics lead private beta it can also enrich your metadata layer updating table and column descriptions identifying foreign keys and adding business friendly context point it at a flow and ask it to document everything try kai today as one beta user put it it s not just a chat window outside the platform but it actually understands where i am and what i m doing kai is now available in public beta for all keboola users whether you re exploring data building integrations debugging pipelines or generating documentation kai is ready to help we made kai free during public beta contracted customers 150 messages per month per user pay as you go customers 50 messages per month per user already a keboola user open keboola click on kai and start your first conversation new to keboola start a free trial and see what kai can do for your data workflows newsletter get more like this in your inbox practical data engineering and ai insights from the keboola team subscribe share david esner product management ai team lead related articles product opportunities and challenges when using llms in the data space sep 4 2025 product the full power of data apps is here data apps in beta since september 2023 are now available together with several improvements for all keboola users to create data driven apps jul 17 2024 product genai meets ai data management keboola s google cloud marketplace debut unlock ai powered insights with keboola on google cloud feb 5 2024 balu gopakumar account executive martin lepka cmo keboola giorgio pontillo cro ready to transform your data workflow join 500 companies using keboola to power their data operations start free trial talk to sales