They say there are only two ways to grow an economy: adding more people or adding more productivity. I told you that story, to tell you this one.
Your CEO emails you at 1 am for a new feature they want to be added to the product. Except, it’s not just an email; it’s a prompt that feeds “Ziggy,” which automatically generates a Vision document (based on a pre-defined template). In the morning, you flesh out the Vision doc with details about the business opportunity, scope, user stories, and a brief description and sketch of the solution concept. Except, it’s no longer just a vision document; it’s a prompt that “Ziggy” turns into a Functional Requirements Document along with supporting documents for Operational Requirements, Customer Support Requirements, Security Requirements, and Test Cases. At that exact moment, relevant stakeholders are notified via Slack that their input is required. Once approved, these documents prompt “Ziggy” to generate JIRA epics, stories, and tasks. In the background, Ziggy automatically creates branches in GitHub and generates “code scaffolding” for the solution. In parallel, “Ziggy” creates Figma files and generates the feature’s new UI wireframes. All relevant stakeholders are automatically notified and assigned tasks to provide story point estimates and refine the descriptions for their design and development items in JIRA. Except, they’re not just JIRA items anymore; they’re prompts. Once Sprint planning is complete, Ziggy generates training/enablement and marketing materials, including marketing copy, screenshots, and videos of computer-generated actors smiling and enjoying the new feature. Relevant stakeholders are notified. Ziggy is also updating the CRM to update the quote to cash workflow and send outbound emails to existing and potential customers who might beta-test the new feature. As UI designs are refined and code pull requests committed, Ziggy continuously tests the product in the dev environment and performs multi-variate A/B tests to optimize the interface and outbound marketing strategy. Based on the burndown chart and velocity, Ziggy anticipates a release date of four weeks from today and will start sending out product announcements on social media. Finally, generated legal product descriptions and contracts are sent to the legal team for review. According to Ziggy, there is a 96.7% chance the new feature will be a success and result incremental ARR and higher NPS scores. You’re probably wondering who Ziggy is? Ziggy is the name of the AI I built to run my Quantum Leap experiments. No…wait, I’m thinking of someone else. Ignore everything I just said.