Find agent skills by outcome

- Generate a simple

practical starter prompt

- Key risks or dependencies to monitor (e.g.

bias checks)

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

fast

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

very large context windows

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

always tailor to the process):

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

writing quality

- Privacy

open behavior

- Tool use

function calling

- 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.

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

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

implicit knowledge

### 4. Frequency

Scale

- Are there legal

ethical

- What inputs does the process rely on? (text

images

- Is correctness

creativity

- Who currently performs this process (you

a team

- Conduct a guided interview before offering solutions

adapting follow-up questions based on prior responses