Choose an AI tool for the job

Choose an AI tool by testing the job you need done. Compare the same permitted input, expected output, and constraints across the options. Keep evidence of quality, checking effort, data handling, connections, cost, and exit.

A weighted score can hide a failed requirement. If a tool can’t use the information you’re permitted to supply, or can’t produce the required result, a high total elsewhere doesn’t fix the gap. The free worksheet records pass, fail, and unknown by requirement.

Write the job before comparing products

Define the user, task, inputs, output, and done check. “Summarize these approved category sources into a linked brief” gives you a test. “Find the best AI tool” doesn’t.

Name the requirements that must pass and the preferences that can trade off. A correct source link may be mandatory. A particular export appearance may be a preference. Anthropic’s prompting guidance recommends establishing success criteria and tests first; apply that discipline before judging a vendor demonstration.

Gather the smallest representative input set. Include an ordinary case, missing information, and a case with ambiguity. The task-pilot guide helps you choose a job when the initial idea is too broad.

Test the same work in both options

Record the product, plan, date, settings, and permitted input. Use the same task instructions where possible. Note any difference required by the products rather than calling the trial identical.

Inspect the output against the original. Count unsupported facts, missing requirements, correction effort, and successful cases separately. A polished paragraph isn’t evidence that a cited page contains the claim.

For a teaching example, two imaginary options prepare a category brief. One gives clear citations but fails to mark a missing date. The other marks missing dates but invents a capability. Neither passes the mandatory factual requirements. This is a constructed decision example, not a measured product comparison.

Inspect the data rules and permissions

Confirm the actual service, plan, training controls, retention, account administration, and export behavior. Mark unanswered vendor questions unknown. A general privacy statement doesn’t explain every feature’s storage or account permissions.

OpenAI’s API data documentation shows that training policy, logs, and application state are separate considerations. Check those considerations for the product you intend to use. Keep private client material and secrets out of an unapproved trial.

The NIST AI Risk Management Framework provides a voluntary reference for risks and responsibilities. Translate it into a concrete question: what wrong output would matter here, who would notice, and who can stop the workflow?

Verify connections and ownership

Check a needed connection with a real permitted test. Distinguish native integration, file import, manual copying, and a custom build. A vendor naming another platform doesn’t establish that the required fields and actions are available on your plan.

Ask who owns the accounts and resulting files. Test an export you can use elsewhere. Record what happens to the work when you stop paying or change tools. Don’t assume a working demonstration includes documentation or maintenance.

Compare total effort and cost

Count subscription, usage, setup, training, review, corrections, and upkeep. Identify whether a number is quoted, measured, or estimated. Include the work needed to leave or replace the tool.

Use the true-cost worksheet to keep cash and capacity separate. A time estimate isn’t revenue. No universal payback cutoff makes a tool the right choice.

Keep mandatory failures visible in the decision. If both options pass, choose using the remaining tradeoffs and record why. If important evidence is missing, a further trial or no purchase can be the appropriate result.

Finish with a decision someone can inspect

Your completed comparison should name the job, tests, requirements, observed output, known costs, unknowns, and owner. Save the tested version so later changes can be compared against it.

You can keep using the chosen product yourself. If the task needs a bounded internal marketing system or a connection neither option supplies, Custom AI Builds can scope the implementation. Bring the comparison and its failed requirements rather than asking for an undefined agent.

Documentation checked October 8, 2026.