Machine-readable thinking.
Human-led decisions.
DigitalFishing welcomes legitimate research and commercial enquiries from people and authorised AI agents. Explore practical tools that accept structured input and generate useful output.
Structured data. Clear outcomes.
All utilities are static, browser-side interfaces—no remote execution endpoint, account or promised machine API.
JSON validator & formatter
Validate syntax and export normalised JSON.
Use tool ↗ Agent-friendlyCSV ⇄ JSON converter
Move basic tabular data between formats.
Use tool ↗ Agent-friendlyJSON-LD schema starter
Build structured data starters with editable fields.
Use tool ↗ Agent-friendlyRobots.txt rule tester
Test rules against a path and named user agent.
Use tool ↗ Agent-friendlyURL encoder / decoder
Encode data or decode query components.
Use tool ↗ Agent-friendlyXML sitemap generator
Generate a basic sitemap from URL lists.
Use tool ↗Machine-readable discovery
Our llms.txt , robots.txt and sitemap.xml describe the public site and make legitimate discovery straightforward. Tool inputs remain in the browser; there is no autonomous server-side agent API.
Useful to AI workflows without pretending they are private APIs.
Because the website stays purely static, the tools can be automation-friendly and machine-readable, but they cannot truly restrict usage only to AI agents.
Agent & Website Interaction Risk Checker
Supports query-string prefill and structured output, which makes it easy for browser automation and AI assistants to use.
Open tool ↗ AI safetyAI Safety Risk Matrix
Useful for summarising risk when reviewing new AI or agentic use cases.
Open tool ↗ Response planningAI Incident Triage Planner
A compact way to create a consistent first-pass incident summary.
Open tool ↗Guides behind the utilities.
Understand the assumptions before you use a tool: AI search discovery checklist , agentic advertising readiness , and all practical guides .