Reduce handling time
Turn recurring research, review, capture and publishing tasks into one coherent workflow.
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Humanoid robot performs household tasks in 30 unfamiliar homes↗OpenAI publishes framework for reporting model misalignment↗Anthropic measures AI's growing share of its research work↗Claude Code Projects coordinates parallel work sessions↗New humanoid is designed to work beside people without safety fencing↗New factory targets 10,000 humanoid robots a year↗Apple launches new Siri with personal context and Google technology↗Microsoft drafts a code of conduct for future AI models↗Rail-mounted robot arms are designed to handle household chores↗Mobile repair service supports failed humanoid robots↗Power-grid constraints slow new AI data centres in Europe↗Anthropic reports AI misuse for military reconnaissance↗OpenAI releases Agents API in public beta↗ChatGPT Work adds an agent for business data↗DeepSeek releases faster model for lower-cost AI applications↗AlphaGenome Atlas maps billions of genetic variants↗AI-assisted drug changes ageing markers in small study↗Same AI model produces sharply different results across test environments↗Two-seat robotaxi without steering wheel enters public service↗Privacy settings can limit the use of AI conversations↗OpenAI launches GPT-6 Astra for long-running agent tasks↗Persistent AI agents retain work context across tasks↗Research team maps the nervous system of a male fruit fly↗World model generates interactive software environments during use↗Anthropic releases Claude Fable 5.1 and Mythos 5.1↗World Labs introduces Atlas spatial world model↗OpenAI classifies Astra as its first critical cybersecurity model↗Meta releases Muse Voice Transcribe real-time speech model↗Google adds agentic video understanding to Gemini↗Hugging Face releases WebGPU kernels for local browser AI↗Runway demonstrates dynamically generated software interfaces with Solaris↗Companies increasingly use AI agents to build internal software↗Generative AI video becomes controllable in real time↗OpenAI launches foundations course for practical AI use↗ChatGPT Sites enters public beta↗AI detects signs of heart disease in routine ECG data↗OpenClaw 2.0 expands open tools for AI agents↗OpenAI's advertising business reportedly reaches billion-dollar run rate↗Meta releases Muse Glimmer for local AI agents↗OpenAI expands AI support for cybersecurity↗Claude helps advance mathematical research↗Meta pushes further into open AI models↗OpenAI separates programmes for frontier models↗Humanoid robot performs household tasks in 30 unfamiliar homes↗OpenAI publishes framework for reporting model misalignment↗Anthropic measures AI's growing share of its research work↗Claude Code Projects coordinates parallel work sessions↗New humanoid is designed to work beside people without safety fencing↗New factory targets 10,000 humanoid robots a year↗Apple launches new Siri with personal context and Google technology↗Microsoft drafts a code of conduct for future AI models↗Rail-mounted robot arms are designed to handle household chores↗Mobile repair service supports failed humanoid robots↗Power-grid constraints slow new AI data centres in Europe↗Anthropic reports AI misuse for military reconnaissance↗OpenAI releases Agents API in public beta↗ChatGPT Work adds an agent for business data↗DeepSeek releases faster model for lower-cost AI applications↗AlphaGenome Atlas maps billions of genetic variants↗AI-assisted drug changes ageing markers in small study↗Same AI model produces sharply different results across test environments↗Two-seat robotaxi without steering wheel enters public service↗Privacy settings can limit the use of AI conversations↗OpenAI launches GPT-6 Astra for long-running agent tasks↗Persistent AI agents retain work context across tasks↗Research team maps the nervous system of a male fruit fly↗World model generates interactive software environments during use↗Anthropic releases Claude Fable 5.1 and Mythos 5.1↗World Labs introduces Atlas spatial world model↗OpenAI classifies Astra as its first critical cybersecurity model↗Meta releases Muse Voice Transcribe real-time speech model↗Google adds agentic video understanding to Gemini↗Hugging Face releases WebGPU kernels for local browser AI↗Runway demonstrates dynamically generated software interfaces with Solaris↗Companies increasingly use AI agents to build internal software↗Generative AI video becomes controllable in real time↗OpenAI launches foundations course for practical AI use↗ChatGPT Sites enters public beta↗AI detects signs of heart disease in routine ECG data↗OpenClaw 2.0 expands open tools for AI agents↗OpenAI's advertising business reportedly reaches billion-dollar run rate↗Meta releases Muse Glimmer for local AI agents↗OpenAI expands AI support for cybersecurity↗Claude helps advance mathematical research↗Meta pushes further into open AI models↗OpenAI separates programmes for frontier models↗
Made in GermanyAI service · Developed in Germany
359 practical AI solutions and counting
AI systems for research, content and recurring knowledge work.
hits7 develops editorial, research, SEO and knowledge systems that reduce manual work and fit existing data, CMS and approval processes. The catalogue also presents practical use cases for other business functions.
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Describe your business and the process you want to improve.
Hits7 analyses your task and recommends the three most relevant AI solutions. If there is no direct match yet, we develop an adjacent or new solution approach.
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Concept and delivery with one accountable contact.
Dr Wolfgang Sender combines experience in editorial operations, SEO, digital products and AI workflows. Specialist technical partners are involved when a project requires them, while responsibility and communication remain coordinated.
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- ✓Privacy and system boundaries from the start
359practical solution concepts
70projects actually delivered
DE · ENGerman and English
1One accountable contact
Business value before technology
AI pays off where recurring work consumes measurable time and money.
We do not begin with a model or a chatbot. We begin with the business process and determine which steps can be accelerated, safeguarded or fully automated.
See the delivery process →Cut errors and rework
Connect data, rules, source references and approvals so that results remain reviewable.
Handle greater volume
Process content, documents, requests or records consistently without increasing manual effort at the same rate.
Keep existing systems
Plan suitable integrations with CMS platforms, databases, email, spreadsheets and internal tools for the specific project.
Identified across international sources
359 practical AI opportunities for your business.
359 currently displayed
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What businesses are most interested in right now.
Category order and prominence follow real click behaviour. The more often visitors explore a field, the more visible it becomes – with no priority industry predetermined by us.
Practical AI solutionLearning & Language
Review curricula regularly for gaps and outdated material
Problem: Curricula and resource collections become outdated, contain dead links or cover new requirements incompletely. Manual quality reviews usually happen irregularly.
Solution: A curriculum monitor checks sources, modification dates, prerequisites and topic coverage, flagging outdated, duplicate or missing learning blocks.
Practical AI solutionLearning & Language
Map skills and prerequisites as an interactive learning path
Problem: Learners often see individual courses but not the relationships between foundations, specialisations, tools and possible career goals.
Solution: An interactive competency map connects topics, prerequisites, learning resources, exercises and applications into traceable paths.
Practical AI solutionLearning & Language
Coordinate study groups around shared goals and resources
Problem: Self-organised study groups quickly lose goals, materials, questions and responsibilities across chats, links and personal notes.
Solution: A shared study workspace combines a topic plan, reviewed resources, group sessions, open questions, task ownership and concise progress reports.
Practical AI solutionLearning & Language
Build competency through a structured sequence of short exercises
Problem: Large courses overwhelm beginners while isolated exercises do not form a visible learning path. Progress and practical confidence remain unclear.
Solution: An exercise-centred path uses many short, cumulative tasks to move from foundations to an independent final project.
Practical AI solutionLearning & Language
Teach formal rules with interactive lessons and a safe playground
Problem: Formal rules in language, mathematics or technology remain abstract when learners only read examples and cannot test their own solutions immediately.
Solution: Short interactive lessons introduce one rule at a time and move directly into a private playground with real-time validation and a compact reference.
Practical AI solutionLearning & Language
Practise programming step by step in the browser
Problem: Beginners often struggle with installation and development environments before they can run a first program or receive immediate feedback.
Solution: A browser-based learning workspace combines concise explanations, editable examples, automated tests and hints in a progressive sequence.
Practical AI solutionLearning & Language
Connect courses, assignments and discussions in one platform
Problem: Learning materials, submissions, questions and progress data often live in separate tools. Learners lose track and teachers process the same information repeatedly.
Solution: A modular learning platform combines a course editor, media collections, assignments, submissions, discussions and progress views in one workspace.
Practical AI solutionLearning & Language
Vary and grade assignments and assessments automatically
Problem: Teachers need many equivalent task variants, traceable grading and rapid feedback. Manual creation and assessment consume disproportionate amounts of time.
Solution: An assessment system generates variable parameters from reviewed templates, grades structured responses automatically and documents solution paths and marking rules.
Practical AI solutionLearning & Language
Train vocabulary and keyboard fluency together
Problem: Vocabulary and fluent writing are usually practised separately in language learning, leaving many learners unable to use new words quickly and actively.
Solution: A combined trainer links vocabulary recall with accurate typing, pronunciation, example sentences and immediate error feedback.
Practical AI solutionLearning & Language
Build individual study plans from open courses
Problem: Open learning resources are abundant but structured inconsistently. Learners often do not know which foundations are missing, what sequence to follow or which materials remain current.
Solution: A curriculum assistant combines the learning goal, existing knowledge and time budget with reviewed courses, exercises and projects while respecting prerequisites.
Practical AI solutionLearning & Language
Teach abstract processes through interactive simulation
Problem: Complex processes remain difficult to understand when learners only see text or static diagrams and cannot test the consequences of individual steps.
Solution: A visual sandbox shows states and changes immediately. Challenges of increasing difficulty lead from open experimentation to reliable application.
Practical AI solutionLearning & Language
Match learning projects to subject and skill level
Problem: Learners encounter many explanations but rarely practise through complete projects. Teachers spend substantial time finding suitable assignments for each subject, level and objective.
Solution: A curated project library classifies practical assignments by prerequisites, duration, difficulty and skills, then recommends coherent learning sequences.
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Turn a defined task into a dependable AI workflow.
We clarify the target, data, interfaces and required approvals, build a testable first workflow and integrate the viable solution into existing systems. The Card catalogue is a starting point for concrete projects.
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