Task before tool
A good AI tool solves a concrete task: writing, researching, translating, presenting, analyzing, automating or planning. A broad feature set matters less than a clear benefit.
Add a tool
Submit an AI tool.
Providers can suggest their AI tool for editorial review. We evaluate usefulness, target audience, transparency, privacy, pricing structure and whether the tool fits one of our categories.
AI tool finder
TextClaude / ChatGPT
ResearchPerplexity
All modelsMultipleChat
SlidesGamma / Canva
Submission
How to submit an AI tool.
We accept submissions from SaaS providers, indie tools, agencies, open-source projects and specialized AI workflows. A submission does not guarantee acceptance. We assess editorially whether a tool offers clear value to our readers.
Requirements
- Your tool must be publicly available.
- The pricing page or free-tier limits should be transparent.
- The key features must be explained without misleading claims.
- Ideally, submit durable sources: a product page, documentation, a changelog, a pricing page or a public case study.
- A backlink to Tekoälytyökalut.com is optional and does not affect the editorial review.
Video tools are explicitly welcome
We're especially happy to review AI video tools: text-to-video, image-to-video, avatar video, dubbing, narration, subtitles, social clips, product demos, explainer videos, video editing and localization.
Evaluation
What we check before acceptance.
Quality of results
We don't just look at a demo screenshot. What matters is whether the results are consistently usable, whether sources are handled properly and whether users can refine them afterward.
Transparency and pricing
Good tools explain which models are used, which limits apply, what is free, what is paid and whether data is used for training or analysis.
Export and workflow
A tool is more valuable when its results fit into real work processes: DOCX, PDF, PPTX, Markdown, CSV, API, team sharing or integrations.
Language and localization
For Tekoälytyökalut.com, it especially matters whether a tool understands prompts in your language, special characters, tone, privacy terminology and the reality of local work.
Risk and responsibility
AI can make mistakes. Tools shouldn't lull users into a false sense of security, but instead make clear the limits, source-checking and responsible use.
Privacy
Use AI tools with privacy awareness in the EU.
AI tools can be productive, but privacy is not a detail to tack on at the end of tool selection. Before adopting a tool, teams should clarify what data may be entered, where it is processed, who has access and how results are checked.
Companies
For companies, GDPR, data processing agreements, storage location, deletion policy, role-based access rights and internal agreements are especially important. Check whether the provider offers a data processing agreement, how long prompts and files are retained and whether inputs are used for training. Customer data, employee data, contract content and health information belong only in supervised systems with clear approvals.
EU
In the EU, the General Data Protection Regulation (GDPR) is central. Especially relevant are purpose limitation, transparency, data security, processing via third parties and transfers abroad. If an AI tool processes data outside the EU or EEA, companies should check what guarantees, standard contractual clauses or other safeguards are in place.
Regulated sectors
Organizations in the EU are likewise subject to GDPR. In practice, what matters is a data protection impact assessment for high-risk cases, clear legal bases, documentation, oversight of processors and training for employees. Public authorities, educational institutions and regulated sectors often have additional internal requirements.
A practical checklist before use
- Is there a data processing agreement or a clear role for the provider?
- Are prompts, files or conversations used for training?
- Where is data stored and processed?
- Can administrators manage retention periods, team access rights and data export?
- Are there clear internal rules for personal data, customer data and confidential documents?
- Who checks the facts, sources, copyright and final approval?