AI Tool Selection
Choose tools for the job you actually have.
A practical comparison of AI tools against your work, constraints and team needs. Popularity is not a selection criterion on its own, and adding a subscription is not always the right answer.
TALK ABOUT A PROJECTWho this is for
Teams choosing between AI tools or trying to reduce unnecessary subscriptions.
What we can produce
A requirements-based shortlist, comparison and recommendation, including tradeoffs and human review needs.
Where time goes
Overlapping tools can create cost and confusion. I help define what a tool must do before comparing features, outputs and the effort required to use it well.
A system people can use
A documented recommendation or working process appropriate to this engagement, with clear inputs, responsibilities and human review points. Implementation depth is agreed before work begins.
- Use-case definition
- Existing tool review
- Fit and usability comparisons
- Review of access and workflow requirements
- Recommendations with tradeoffs
One practical application
A team choosing a research assistant may need reliable source handling more than writing speed. A creative team may care more about editing control, output formats and commercial-use terms.
From review to routine
We agree on requirements, compare a focused shortlist and try representative tasks where access allows. You receive a recommendation with the reasons, constraints and next steps clearly stated.
LET’S FIGURE IT OUTWill you recommend the newest tool?
Only if it fits. We consider the existing stack, budget, team capacity and the task itself. Product terms and capabilities can change, so the recommendation is tied to the evaluation and intended use.
Have something in mind?
Tell me what you’re trying to make, change, fix or figure out.
START A CONVERSATION