TPEE Toptronic® Prompt Engineering Editor

48. Model Selection Capstone

Master the complete model selection decision framework.

By Jacques Botte, founder of Toptronic®. Last updated 19 September 2026.

The lesson

The expert's model selection process: 1) Define the task clearly, 2) Assess risk level, 3) Determine required reasoning depth, 4) Consider privacy needs, 5) Evaluate context requirements, 6) Balance speed vs quality, 7) Choose appropriate model tier.

Document your model choice: Record why this model was selected, what alternatives were considered, and the cost/quality trade-offs.

Build a personal model selection playbook: Maintain a reference of which models work best for your specific recurring tasks.

Stay current: Model capabilities evolve rapidly. Re-evaluate your choices as new models release.

Remember: The most expensive model is not always the best choice. Match model capability to task requirements for optimal efficiency.

An operations planner at a mine site records in TPEE why a mid-tier model was chosen for shift reports, noting the low risk and the local data.

A risk analyst at a lending institution documents the model choice for loan summaries, balancing privacy needs against the required reasoning depth.

A clinical governance officer at a hospital keeps a selection note explaining why routine policy summaries run on a small model.

A municipal records officer builds a selection playbook in TPEE listing which model suits permit notices and which suits long public consultations.

A junior developer at a software house follows the documented selection steps in TPEE before starting a refactoring task.

An architecture practice manager records model choices for specification reviews and revisits the note whenever a new model tier is released.

A logistics analyst at a courier firm documents the trade-offs behind choosing a fast model for daily route summaries.

A veterinary practice owner keeps a TPEE reference showing which model suits client letters and which suits complex case notes.

A maintenance supervisor at a water utility writes a decision note in TPEE before moving alarm summaries to a different model tier.

A newsroom editor maintains a model selection reference for headline drafts and long document review, updating it as options change.

Check yourself

Question 1: What is the first question to ask when selecting a model?
  1. What is the price only?
  2. What is the task, risk level, and required reasoning depth? — correct
  3. What color is the interface?
  4. Does it run on my phone?

Answer: What is the task, risk level, and required reasoning depth?

Task requirements, risk level, and reasoning needs should drive model selection before cost.

Question 2: Which factors should you balance in model selection?
  1. Only the model name
  2. Quality, speed, cost, privacy, context length, and reasoning requirements — correct
  3. Only the release date
  4. Only the logo

Answer: Quality, speed, cost, privacy, context length, and reasoning requirements

Expert model selection balances multiple factors: quality, speed, cost, privacy, context, and reasoning.

Question 3: What should you document about your model choice?
  1. Nothing
  2. Why this model, what alternatives were considered, and cost/quality trade-offs — correct
  3. Only the model name
  4. Only the price

Answer: Why this model, what alternatives were considered, and cost/quality trade-offs

Documenting model selection rationale helps review, improve, and justify AI workflows.

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