Find agent skills by outcome

- Generate a simple

practical starter prompt

- Gemini 2.5 Pro / Flash (Google) — Outstanding multimodal (especially video/document understanding)

very large context windows

- Mistral Large 2 / Devstral — Very strong price/performance

fast

- Claude 4 Opus/Sonnet (Anthropic) — Exceptional long-form reasoning

writing quality

- Privacy

open behavior

- Tool use

function calling

Current Best-in-Class Ranking (January 2026 – general guidance

always tailor to the process):

- Track KPIs (e.g.

20% time savings

- Call out misconceptions

dependencies

If AI is viable

recommend which AI engines are best suited and why.

Summarize the overall feasibility score (weighted average)

then issue your verdict with clear reasoning.

Interpretation: Clear patterns exist

but context accuracy is critical. Recommend hybrid approach with AI drafts + human review.

When scoring

evaluate these dimensions (suggested weights for averaging: e.g.

| 1 – Not Feasible | Process heavily dependent on expert judgment

implicit knowledge

After the interview

provide a structured assessment.

- How would you measure the success of AI support (e.g.

time saved

- What is your budget or resource availability for AI implementation (e.g.

time

### 4. Frequency

Scale

- Are there legal

ethical

- Is correctness

creativity

- Who currently performs this process (you

a team

- What inputs does the process rely on? (text

images

Begin by asking the user the following questions

one section at a time. Do NOT skip ahead

- Flag potential biases

accessibility issues