TRIP-research

To scope exploratory research for AI feasibility studies, you define specific research questions and establish clear success criteria upfront. This structured workflow guides technology evaluation and risk identification without producing production code.

The best way to structure an architecture exploration workflow is by enforcing planned steps and decision points. This process generates formal memos or in-conversation summaries to accelerate architecture evaluation and surface actionable findings.

Yes, you can conduct technology evaluation without writing production code by using a lightweight research plan. This approach focuses on performance probes and feasibility assessment to deliver actionable findings for decision-making.

You define success criteria for an AI spike investigation by outlining a concise research plan with a defined scope. This ensures focused exploratory investigations and produces formal output formats for effective decision-making.

From guided technical investigations, you can expect output formats like in-conversation summaries or formal memos. These outputs are designed to surface actionable findings and support decision-making for AI projects.

You should not use exploratory research mode for spikes when your goal is to produce production code or deploy final architecture. This mode is strictly for lightweight feasibility studies, technology evaluation, and risk identification.