Human ideas. AI assistance.

What could go wrong?

No profiles. No accounts.

ExtensionsBrowser add-ons — pick your store. InstantPress once — share a link or code, join nearby, message or exchange files, then leave. Open Data HubPublic data, one search. ECB, Eurostat, World Bank — in your browser, no account. Trust CheckLinks, domains, emails, phones, claims — hash-grounded checks. Trust IndexExplore community signals (incl. global view). SimilarityCompare text or pages for overlap. Learn IndexPractice and learning paths (incl. student block). Noise TextHeuristic text-noise helper. GriGsi ProofLocal fingerprints and verification flows. PollsCreate and answer structured polls. SurveysAnonymous survey flows. GovernanceVotes and governance tools for group decisions. Life Pressure MirrorSee how many work-hours basic living costs, compare moments, and open the Trust layer when needed. APIDeveloper entry and integration docs. API TranslatorPaste curl or fetch — see what the connection does in plain language. GriGsi ReachOne link — GriGsi always digs. Same box; paths rotate behind the scenes.

Who am I

I’m a regular TV worker.

I just decided it’s probably a bad idea to be afraid of AI before actually talking to it.

So I did the simplest possible thing:
I turned it into an experiment.

Human ideas. AI assistance. A bit of curiosity. And a lot of “let’s see what happens”.
  • I bring the ideas.
  • The machines help me build them — ChatGPT, Cursor, VS Code… the usual suspects.

GriGsi started as a small curiosity about trust, signals, and how people behave online when no one is watching too closely.

Now it’s a growing experiment about something simpler:

what happens when you mix human instinct with machine help — and don’t pretend you know the outcome.

How can we help?

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