About toolwiki

Our mission

We help you find the right tool in a crowded AI market — for beginners and professionals alike. No buzzword bingo, no hidden ads. toolwiki launched in 2026 as the editorial successor to "KI-Wissensraum" (its German-language predecessor), continuing that project's mission: AI content that isn't translated US marketing copy but written from a European perspective — with attention to GDPR, the EU AI Act, SMB realities, and the workflow specifics of our readers.

What sets us apart from other AI portals

Three pillars shape our work. First: editorial, not crowdsourced. We test every tool ourselves — no imported user reviews, no AI-generated listicles. Second: honest currency. We re-check pricing and feature data every 4–6 weeks per tool against the vendor's own page, and we refresh reviews when a tool ships a major update. Every page carries a visible last-reviewed date. Third: depth over reach. Two cleanly researched comparisons rather than ten superficial "Top 100 AI Tools" lists.

Editorial principles

• Independence: We evaluate tools by our own criteria, not by commission rates. Affiliate relationships are never a precondition for a positive rating — and several of our top-rated tools have no affiliate program at all.
• Transparency: Affiliate links are clearly marked (rel="sponsored") and labeled "Affiliate". No hidden sponsorship, no paid placements, no PR content disguised as editorial.
• Timeliness: We re-check pricing and feature data every 4–6 weeks against the vendor's own page. Editorial content carries a visible updatedAt date and is revised promptly when models change versions, prices shift, or regulations move.
• Sources: All concrete claims are traceable — pricing data links to official provider pages, technical claims to whitepapers or original documentation, regulatory notes to EU or federal publications.
• Correction culture: Errors are flagged openly — corrections go directly under the article, not in footer fine print.

How we test tools

Every tool goes through a structured test on four axes. Function: actual output on realistic use cases (10-20 real tasks per tool, depending on category). Price-performance: pricing per productive output unit (word, image, minute), compared against the market. GDPR and compliance: DPA availability, EU data residency, training opt-out, deepfake labeling. Support and documentation: response times, language coverage, depth of official docs.

Ratings are editorial and are the result of concrete tests, not aggregated user stars. The methodology is documented per category — see for example our tool categories with their own "How We Test" sections.

Editorial team

Behind toolwiki stands a small editorial team with backgrounds in tech journalism, software engineering, and data compliance. We work mostly remotely from Germany and Austria. Contributions from external authors are flagged as guest posts and pass the same editorial review as in-house content.

Our articles are written by five authors with clearly separated topic focuses: Generative AI & LLMs (Lukas Hoffmann), Image & Visual AI (Sophie Renner), Audio & Voice AI (Jonas Brandt), Prompt Engineering & Developer Workflows (David Krüger), and Business, Marketing & SMB (Anna Weidner). An overview with bios and per-author post lists lives on our authors page.

Contact

Feedback, corrections, or tool suggestions are welcome at hello@toolwiki.ai. We typically respond within a few business days. Press kits and media packages for advertising inquiries are sent on request — same contact. Substantive notes about wrong ratings, outdated pricing, or missing relevant tools get priority in the inbox.