Free tools
Free tools for
AI-era teams
Useful results in minutes, with the evidence behind them. When a tool finds something worth fixing, it shows the next step.
Tools
AI Commerce Readiness Check
Score a store’s search foundations, AI crawler access, product data, trust signals and performance, with evidence for every finding.
Check a store ↗Live check · robots.txtAI Crawler Checker
See which search, user-initiated and model-training crawlers your robots.txt allows, and the exact rule that decides.
Check crawlers ↗Live check · Product pagesProduct Schema Checker
Check a product page’s price, availability, brand, identifiers, shipping and returns in structured data, with a fix for each gap.
Check a product page ↗Generatorllms.txt & agents.md Generator
Create a Markdown file that points assistants to your key pages, policies, sitemap and product feed.
Create a file ↗CalculatorAI Development Cost Calculator
Compare your current development cost with cautious and favorable AI-assisted scenarios, with every assumption visible.
Estimate a scenario ↗Pre-assessmentCan AI Automate This?
Describe a repetitive task and see its automation potential, a possible solution and where a person should stay in control.
Assess a task ↗Self-checkAI Code Health Check
Built with AI? Score your application’s production readiness across 13 areas and see which risks to fix first.
Score an app ↗DemoAgentic Commerce Lab
Watch a shopping agent interpret a request, check stock and delivery, compare products and prepare a cart.
Try the lab ↗How they work
From result to next step
Each tool explains what it found and why it matters. If you want help, a result can be handed to HUB as a prepared brief, so the first conversation starts with your actual situation rather than a blank form.
Your data
HUB does not store tool results. The live checks read public pages only when you ask them to; the calculator, generator, pre-assessment, self-check and lab run in your browser. Nothing reaches HUB unless you choose to send it.
What does your software
need to do next?
A new build, a difficult codebase or a system that needs support. Let’s talk.