Guides
Embed AI into an Existing Product Workflow (2026)
Embed AI in an existing product workflow: your UI takes the question, a data agent runs the long task, and one shared console audits every step and file.
Read articleEmbed the same audited analysis task into an existing product workflow—not a new BI surface.
Embed AI in an existing product workflow: your UI takes the question, a data agent runs the long task, and one shared console audits every step and file.
Read articleA data agent api starts the same long task the web console already shows: HTTP creates the job, SSE streams steps, and /tasks stays the shared audit trail.
Read articleA long-task agent is the product embed you can audit: start a job, stream steps, and open the same /tasks timeline instead of a two-second ChatBI box.
Read articleAnalyze inside your app by capturing the question in your UI, starting a long task from your backend, and auditing SQL plus files in the same /tasks console.
Read articlePartner silent provisioning creates a tenant and scoped key on the server so partners never receive a secret in email, a README, or the host product browser.
Read articleRun the same task in web and api so one timeline holds plan, SQL, and files. Start in the /tasks console, then replay that identical job from your backend.
Read articlePlace workflow embedded analytics as a long-task slot in the product you already ship, then audit steps and files in /tasks instead of an iframe chart.
Read articleAgentic AI in a product is a long task with an id: start one in-app goal from your backend, then audit plan, SQL, and files in /tasks—not a chat bubble.
Read articleEmbeddable AI is a backend-started long task in a slot you own, not an iframe: place the button, create the job, then open the same id in /tasks to audit.
Read articleAI automation for analysis creates a job from your server and polls status; it does not block the page on a sync ChatBI reply or hide the SQL trail from review.
Read articleAn embedding agent is a long task in the host app: wire one goal from your product to the same /tasks id—not a vector-database tutorial or an index lab.
Read articleEmbed into the case the operator already has open: capture the question in the host UI, start a long task, and audit plan plus files in the /tasks console.
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