Practical AI: One Workflow, a Measurable Pilot
Begin with a recurring task, permitted sources, and human review. A tool’s usefulness needs to be demonstrated in a specific workflow.
Discuss an AI workflow ↗Choose a task
Describe the inputs, current steps, person responsible, time required, and expected output. Preparing a draft and deciding to send it are different actions. Define which decision remains with a person.
Prepare a test
Use sample data or anonymized data you have permission to use. Check an ordinary request, missing information, a contradiction, and an unsupported promise. Record the expected response before launch.
Evaluate the whole workflow
Include preparation, review, corrections, costs, and errors. Schedule a review and define a stopping rule. Faster generation alone does not show that the team saves time overall.
Check the available format
Check the official Narayana AI Academy & Studio site for its current stage and available formats. Reading the practical guides and contacting the founder do not require registration.
Useful resources and initiatives
You can read materials and send inquiries without registering. Telegram and email sign-in will be available when the unified account launches.
Discuss an AI workflow ↗