# How I'd Pick the First Task to Hand to an AI Agent (With a 20-Line Scoring Script)

> Source: <https://dev.to/awais_aezad_6c3abb84995ef/how-id-pick-the-first-task-to-hand-to-an-ai-agent-with-a-20-line-scoring-script-5acb>
> Published: 2026-11-10 07:17:29+00:00

AI agents are the big topic this month, but most people I talk to outside tech haven't tried one yet. The most common mistake I see is picking the tool first and the task second.

As a developer, I'd reverse that. Here's the small framework I use to choose a first task, plus a script you can run.

A chatbot answers when you ask, and then *you* do the work. An agent takes a goal, plans the steps, uses tools (email, calendar, a spreadsheet, a store), does the task, and reports back.

That difference matters because it changes the risk. An agent can *act*, so a bad choice of task costs more than a bad chatbot answer.

McKinsey's State of AI survey (Nov 2025) reported that 62% of organizations were experimenting with AI agents, but only 23% had scaled them. Lots of pilots, few things in daily use. A small team that picks one narrow job and makes it reliable can get ahead of that.

List everything you repeat each week. Score each task from 1 to 5 on four things:

Add the four scores. A high total means a good candidate. One rule overrides the total: if safety is 1 or 2, wait, however high it scores elsewhere.

```
tasks = [
    {"name": "Sort and label incoming email",   "frequency": 5, "time_cost": 4, "clear_rules": 4, "safety": 5},
    {"name": "Answer repeat customer questions", "frequency": 5, "time_cost": 4, "clear_rules": 4, "safety": 3},
    {"name": "Send refunds",                     "frequency": 3, "time_cost": 3, "clear_rules": 4, "safety": 1},
    {"name": "Write monthly newsletter draft",   "frequency": 2, "time_cost": 4, "clear_rules": 3, "safety": 4},
]

MIN_SCORE = 16
MIN_SAFETY = 3

for t in tasks:
    t["score"] = t["frequency"] + t["time_cost"] + t["clear_rules"] + t["safety"]
    t["ready"] = t["score"] >= MIN_SCORE and t["safety"] >= MIN_SAFETY

for t in sorted(tasks, key=lambda x: x["score"], reverse=True):
    flag = "START HERE" if t["ready"] else "wait"
    print(f'{t["score"]:>2}  {flag:<10}  {t["name"]}')
```

Output:

```
18  START HERE  Sort and label incoming email
16  START HERE  Answer repeat customer questions
13  wait        Write monthly newsletter draft
11  wait        Send refunds
```

Refunds never make the list because of the safety rule, even though the task is frequent. That's the point.

```
monthly value = (hours saved per week × 4.3 × value of an hour) − tool cost
```

Record your baseline *before* you start. Without it you can't tell whether the agent helped.

I'm a developer who works with AI, and I put this into a short beginner-friendly guide for non-technical small business owners: 7 starter agents, a 7-day launch plan, prompt templates, and a launch checklist. It's my first ebook, so I'd really like honest feedback.

[The AI Agent Playbook for Small Business](https://aezad.gumroad.com/l/anksws)

What's the first task you'd hand to an agent? Tell me in the comments and I'll tell you how I'd score it.