Generic tools, custom problems
There are hundreds of AI products launching every week. Many are excellent for general-purpose use. The question is whether general-purpose solves your specific problem.
Does an off-the-shelf tool solve 80%+ of your need, or does the remaining 20% matter?
Where this option works
- +Ready to use immediately, no build time
- +Lower upfront cost (SaaS pricing)
- +Regular updates and improvements from vendor
- +Community support and documentation
Where it falls short
- –Can't access your internal systems or proprietary data
- –Generic outputs that don't match your context
- –No customization for your specific workflows
- –Vendor controls the roadmap, not you
Choose this when
If an off-the-shelf tool solves 80%+ of your need and the remaining 20% doesn't matter, use it. We'll tell you this during the Automation Blueprint if it's the case.
Choose SuperTrained when
If you need AI that understands your internal systems, follows your specific processes, and improves based on your team's feedback, that's a custom agent.
The Situation
A team was using a generic AI writing tool for job descriptions but getting bland, copy-paste results.
The Result
We built JobMap, an AI tool that analyzes role context, culture, and growth path, then generates 4 strategic deliverables that attract better-fit candidates.
See what we'd recommend for you
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