Use BYOBot to accelerate LookML development, Explore query building, dashboard narrative writing, and data model documentation: reducing analyst toil across every Looker workflow.
Automate My Looker Workflows →Looker's semantic layer is powerful, but LookML can be intimidating and dashboard maintenance is relentless. BYOBot accelerates the full Looker workflow: writing LookML dimensions and measures from business requirements, explaining Explore relationships to new users, summarizing Look results for stakeholders, and generating the data documentation that keeps your semantic layer understandable at scale.
Choose a quick-start prompt above, or describe your Looker workflow in your own words. No template required.
BYOBot identifies the data sources, transformation steps, and output format, then drafts the full automation spec tailored to your Looker setup.
Run it as a reusable prompt, deploy a browser agent for dashboard and report tasks, or get a complete API and pipeline spec for engineering handoff.
No setup. No code. Open the AI chat tool you already use, paste your agent, and run the workflow today. Start here to validate the logic before going hands-off.
Works with ChatGPT, Claude, Gemini, or any LLM, free to startYour agent navigates your tabs, fills fields, and works your dashboards and inboxes on its own. It plays the keys, you set the roll: the player piano moment.
Works with any AI browser agent tool, no API keys neededHand your agent to a developer or wire it into your automation platform: auth flows, error handling, and a QA checklist included, ready to run while you sleep.
Connects to Zapier, Make, n8n, or custom APIsA chat answer dies in the thread. Your agent is a file you own: run it in ChatGPT, Claude, or Gemini, drop it into a browser agent, or hand it to your stack, as many times as you like.
No prompt engineering degree required. Describe what you do, the tabs you open, the data you move, and BYOBot asks the questions that turn your knowledge into the spec.
Every build ships with smoke tests and pass, warn, and fail checks for each step. You'll know it ran right, not just that it ran.
Pricing
Describe the workflow you run in Looker and build your first agent free, no account required. When you're ready to automate more of the week, five more builds are $25: five agents, yours to keep and run anywhere.
5 build credits · one-time purchase
No subscription · card, PayNow, or GrabPay · your first build is still free
Yes: describe the dimension, measure, or explore configuration you need in plain English and BYOBot produces valid LookML syntax, including type declarations, sql blocks, labels, and descriptions. It also flags common pitfalls like fanout issues in symmetric aggregates.
Users who struggle to build Explores can describe what they want to analyze and BYOBot writes the query parameters, filters, and pivot configuration in plain language they can apply in the Explore UI, or generates a direct Looker URL with parameters pre-filled at the browser agent.
Paste your LookML files and BYOBot generates human-readable documentation: field descriptions, business definitions, join relationship explanations, and data dictionary entries: making onboarding new analysts dramatically faster.
At the pipeline level, BYOBot generates Python scripts using the Looker SDK to automate content delivery (scheduled Looks), dashboard embedding, user provisioning, and usage reporting: enabling hands-off Looker administration for large deployments.
LookML development is the highest-leverage work in a Looker deployment: a well-built semantic layer means every downstream dashboard and report is consistent and trustworthy. But writing and reviewing LookML is specialist work. BYOBot lowers the barrier: describe the business logic, get working LookML back, and spend your expert time on review rather than initial drafting.
Data documentation is the perennial backlog item for analytics teams. Undocumented fields lead to metric inconsistency, duplicate measures, and hours lost to 'what does this field mean' conversations. BYOBot can process LookML files and generate field descriptions, business definitions, and join explanations at scale: turning a multi-week documentation project into a day's work.
For data consumers who need Looker insights but don't build Explores themselves, BYOBot serves as a translator. Paste the Look result or screenshot data into the chat, describe your audience, and get an executive summary, variance analysis, or action-oriented bullet points: ready for the next slide deck or Slack update.
At the automation frontier, BYOBot generates Looker API scripts for content scheduling, embedding configuration, and usage analytics. Combined with Slack or email triggers, you can build systems where Looker data flows automatically to stakeholders at the right cadence without manual intervention from the analytics team.
Ready to cut the manual work out of your Looker workflows?
Automate My Looker Workflows →