Google's new Interactions API signals the end of an era for the "everything prompt", that sprawling, all-purpose instruction we have been stuffing with context, rules, and examples in the hope that a language model would figure out what we really wanted. The Interactions API moves toward structured, stateful workflows where reasoning is distributed across discrete steps rather than crammed into a single block of text. That is a meaningful correction, and it points to a more mature phase for AI-driven data work.
For anyone who has spent hours debugging a prompt that should have worked, the shift is practical relief. The Interactions API allows developers to build agentic workflows that hold state across turns, enabling deep reasoning without forcing the model to re-read the entire history each time. Instead of asking one giant question and hoping for a coherent answer, you can break the task into smaller, verifiable pieces, retrieve a fact, apply a rule, check consistency, then act. This is how real problem-solving works, and it is how spreadsheets should work when AI is involved.
What this means for spreadsheet users is straightforward: you will soon be able to describe a multi-step analysis in natural language and have the system execute it as a structured plan, not as a single opaque guess. Imagine telling your tool to "pull last quarter's sales by region, flag any region below target, then suggest a reallocation of budget based on historical lift." With a stateful, structured approach, each step can be validated independently. If the model misunderstands a region name, you catch it early. If the budget suggestion seems off, you inspect the reasoning at that step. The black box opens.
Our take is that this is not merely a technical improvement; it is a design philosophy that puts human oversight back at the center. The "everything prompt" treated the model as an oracle. Structured workflows treat it as a capable but fallible collaborator, one that benefits from clear instructions broken into manageable pieces. For users who have felt that AI spreadsheets are either too simplistic or too opaque, this approach offers a middle path: powerful enough to handle complexity, transparent enough to trust.
Google's move is a vote for clarity over convenience. We expect other platforms to follow, and we encourage our readers to start thinking in terms of workflows, not prompts. The next time you design an AI-assisted spreadsheet task, ask yourself: can I break this into steps that a colleague could follow? If the answer is yes, you are ready for structured AI. If the answer is no, the prompt is probably too big.