The Wolf Suite · Three tools · One decision
Wolflow asks whether your problem is genuinely ready for AI. Wolfpath maps exactly where to start. Wolfbridge shows what your existing stack already does.
Free · No account required · Under a minute
The obvious question
A raw LLM is optimised to help you succeed at whatever you ask. Put an AI idea to it and it will give you a thoughtful, encouraging answer — because you asked about your AI idea. That's not a flaw. It's what it's for.
These tools are built for a different goal entirely. Wolflow is optimised to tell you whether you should start. Wolfpath is optimised to show you how to start, always — with the cost of each step made visible so you can decide with your eyes open. Wolfbridge tells you what your existing platforms already do — so you know whether you're building something you already own. None of them will encourage you for encouragement's sake.
The output is structured, consistent, and exportable. Not a conversation — a result you can show someone.
The decision, in three moments
Before anything is built — wrong problem, wrong assumptions, wrong timing. When you start building — no clear entry point, no priority order, no sense of what's hard and what isn't. Or after scoping — discovering your existing platform already does half of what you're about to build. There's a tool for each moment.
Seven sequential gates. Each one asks whether the conditions for AI to work actually exist. The moment a better answer exists — a rule, a process change, a simpler tool — Wolflow stops and tells you what it is. Most evaluations don't reach the final gate. That's the point.
Paste any description of work — a job ad, a process doc, an email thread. Wolfpath decomposes it into discrete functions, sorts them by automation potential, and maps a path for each: a version you can ship this week, and a version you can build this quarter.
Select your enterprise platforms. Describe the problem. Wolfbridge searches live documentation to show what each platform's AI layer can do today — capability, effort, tier, and the specific limitation. Then shows you when a custom agent beats the native option, and which one to build.
Wolflow · What it actually outputs
A red result isn't a failure. It's the tool doing its job — before you spend anything.
Only 15 cancellations a year. The data volume doesn't support a model.
→ Simple rules-based flag + personal outreach caught 90% of at-risk members. No model needed.
Strong seasonal data, but the dispatcher has context the AI lacks.
→ Spreadsheet formula + weather API provides the forecast. Dispatcher reviews and adjusts.
Analysts spend most of their time reading context before triaging.
→ Simpler filtering reduces volume but doesn't replace comprehension. AI is justified here.
Both tools are free. No account required. Under a minute each.
Where are you right now?
Evaluate whether your problem is genuinely ready for AI.
Evaluate now → ◆ WolfpathMap the functions, the priorities, and the effort involved.
Map the path → ◆ WolfbridgeSee what your enterprise platforms can handle before you scope a build.
Check the stack →Free · No account required · Takes about a minute