Find agent skills by outcome

- Generate a simple

practical starter prompt

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

fast

- Lightweight/chat-only models (older 7B–13B models

mini variants) — usually lack depth/context/tool reliability

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

writing quality

- 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):

- Grok 3 / Grok 4 (xAI) — Excellent reasoning

real-time knowledge via X

- Privacy

open behavior

- Track KPIs (e.g.

20% time savings

Interpretation: Clear patterns exist

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

| Data quality | 3 | Mostly clean

some inconsistency |

- Call out misconceptions

dependencies

- Tool use

function calling

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.

| 5 – Excellent Feasibility | Predictable process

well-defined data

When scoring

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

| 2 – Low Feasibility | Some structured elements exist

but goals or data are unclear. AI could assist with insights

| 4 – High Feasibility | Clear logic

consistent data

| 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

### 4. Frequency

Scale

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

time