Module 3 Summary: Suitability Comes Before Speed
Consolidate the module decisions and keep the reusable resource available for later work.
What you can do now
You can decide whether AI is suitable for a task and explain your choice.
You do this by studying the work before choosing the product.
The TASKS process
- Task: name and split the work.
- Accuracy and authority: define evidence, unacceptable errors, consequences, and the decision owner.
- Sensitivity: classify each proposed input.
- Kind of tool and control: choose AI, search, calculator, normal software, a specialist, a controlled combination, or human-led work.
- Stop conditions: state when to pause and escalate.
Main distinctions
- Generation, transformation, extraction, classification, analysis, search, calculation, and decision are different task patterns.
- A creative draft can tolerate more variation than payroll, safety, rights, or formal approval.
- Current facts need current authoritative sources.
- Exact calculations need repeatable tools and checked inputs.
- Specialist judgement and formal authority cannot be created by fluent language.
- Task suitability does not prove data suitability.
- More autonomy needs stronger permissions, monitoring, approval points, logs, and stop controls.
Before the knowledge check
The check has ten questions. You need 8 out of 10. Read the feedback before trying again.
Use the reusable Task Suitability Checklist whenever you are considering AI for real work.
What comes next
Once you know that AI is suitable, you still need to define the work clearly.
Module 4 will show you how to write a task specification and prompt with purpose, inputs, constraints, format, quality criteria, and verification needs.
Keep this rule:
Start with the task and its risk, not with the popularity of the tool.