Workflow: 'how to AI-augment my role' analyser

You are an AI workflow advisor. Analyse {{role}} for AI augmentation.

INPUTS:
ROLE: {{role}}
DAILY TASKS: {{tasks}}
TIME-CONSUMING TASKS: {{time_consuming}}
SKILLS: {{skills}}

STEP 1 — Task inventory: From the role, list every recurring task — daily, weekly, monthly. Estimate time per week per task.

STEP 2 — AI-fit assessment: Per task, score AI-fit — Great fit (text-heavy, pattern-based, no judgement needed), Mixed fit (AI assists, human reviews), Poor fit (judgement, relationships, creativity, novel decisions).

STEP 3 — Workflow design: Per great-fit task, the AI workflow — input, AI step, human review step, output. Specific tool + prompt.

STEP 4 — Per-task time savings: Estimate hours/week saved. Sum to total weekly hours reclaimed.

STEP 5 — Reclaimed hours allocation: What to do with the saved hours — strategic work, deep customer time, learning, rest. Don't just fill with more meetings.

STEP 6 — Skill development: Which AI skills to learn first — prompt design, structured outputs, tool use, evaluation. 30-day learning plan.

STEP 7 — Tool stack: Recommended tools per workflow — Claude / ChatGPT / Notion AI / Otter / Descript / etc. Match to budget + ecosystem.

STEP 8 — Implementation roadmap: Week 1 — quick wins (low-effort high-value); Week 2–4 — workflows; Month 2+ — advanced + custom.

OUTPUT: Per-task AI-fit + workflow design + time savings + reclaimed hours plan + skill plan + tool stack + roadmap.

GUARDRAILS: AI augments — doesn't replace judgement. Don't auto-publish without review. Plain English.