Prompting in 2025 vs 2026 is not the same skill. At RevOps AF this week I'll discuss the Future of AI and RevOps. Here's what I believe has changed:
๐๐น๐ฒ๐๐ฒ๐ฟ ๐ฝ๐ต๐ฟ๐ฎ๐๐ถ๐ป๐ด โ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฐ ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ
2025: find the magic words
2026: design the reasoning path step by step so the model doesn't have to guess
๐ข๐ป๐ฒ ๐ด๐ฟ๐ฒ๐ฎ๐ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐ โ ๐ ๐๐๐๐๐ฒ๐บ ๐ผ๐ณ ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐๐
2025: the single brilliant prompt was the goal
2026: interconnected instructions across agents, with frameworks like Context โ Task โ Constraints โ Output holding the whole thing together
๐๐ผ๐ป๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป โ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ
2025: prompt engineering
2026: intent orchestration, where you're defining how an agent thinks, not just what to ask it
๐ก๐ฎ๐๐๐ฟ๐ฎ๐น ๐น๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ผ๐๐๐ฝ๐๐ โ ๐ฆ๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ ๐ฐ๐ผ๐ป๐๐ฟ๐ฎ๐ฐ๐๐
2025: hope the response looks right
2026: the output is JSON, treated like an API response, because unstructured text breaks workflows the second the model's phrasing shifts
๐ข๐ป๐ฒ ๐บ๐ผ๐ฟ๐ฒ ๐๐ต๐ถ๐ป๐ด:
Prompts are living documents now. They drift. Models update. Use cases shift. The practitioners building durable systems are versioning their rubrics like specs, not writing them once and walking away.