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Collect daily AI release news from major labs, product changelogs, blogs, and Hacker News. Remove previously reported items and email a digest with source links and brief explanations tailored to the intended audience.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Receiving a daily AI release digest
• Tracking changes to AI development tools
• Sharing relevant AI updates with a team

Run Gemini research tasks that plan searches, read sources, and combine findings into cited reports. Specify a report structure, monitor progress, and continue earlier research with follow-up questions for market, technical, historical, or comparative studies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research a market and its competitors
• Review technical literature
• Compare products or technologies

Connect cognee to model providers, databases, storage services, and development tools. Guides configuration of language models and embeddings, the numerical representations used for search, including the separate settings each requires.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Switching model providers or using Ollama locally
• Connecting cognee to Postgres or Neo4j
• Storing cognee data in S3

Turn text into embeddings, numeric representations of meaning, through 9Router. Choose a model and process individual texts or batches to prepare data for meaning-based search, similarity comparisons, or RAG systems that retrieve reference material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing text vectors for meaning-based search
• Generating embeddings for text similarity comparisons
• Batch-processing reference passages for RAG

Transcribe audio files through 9Router using models from providers such as OpenAI, Groq, and Deepgram. Receive plain text, structured results with timestamps, or SRT and VTT subtitles, depending on the selected model’s support.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transcribing recorded meetings or interviews
• Creating SRT or VTT subtitles from audio
• Getting transcriptions with timestamps

Generate images from written descriptions through 9Router using a choice of image models. Check each model’s supported settings, request an image, and receive a URL, encoded image data, or image bytes for saving to a file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a landscape image from a written description
• Checking supported image sizes and quality settings
• Saving generated images as files

Prepare a one-page customer call brief with attendee profiles, account history, open deals, and context from earlier conversations. Use available connected sources or uploaded files to build a sourced call plan and relevant discovery questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing customer history before a sales call
• Preparing questions from unresolved points in earlier calls
• Creating a call brief from uploaded records and notes

Audit whether an AI agent follows its intended purpose, business rules, and permission boundaries. The skill guides setup discovery, test configuration, execution against an agent endpoint or substitute model, and interpretation of scores from selected judging models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing an agent's compliance with business rules
• Testing permission boundaries and dangerous tools
• Evaluating an agent through its HTTP endpoint

Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit existing articles for evidence and credibility gaps
• Revise article structure and references for AI answers
• Record citations observed across AI services

Review board memos and strategy briefs with available Claude, Codex, and Gemini models. Compare concerns, supporting arguments, and votes, then turn disagreements into questions to resolve before committing to a major business decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing fundraising terms before signing
• Checking the reasoning behind a major strategic pivot
• Examining an acquisition memo before a decision

Support startup AI strategy by comparing API use, fine-tuning—additional training of an existing model—and in-house development. Assess three-year costs, regulatory risk, self-hosting breakeven points, and hiring priorities to inform leadership decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare API use, fine-tuning, and in-house development
• Assess regulatory risks for an AI use case
• Calculate when self-hosting becomes cost-effective

Organize multi-step research and project work with Markdown files for plans, findings, and progress. Gemini hooks, automatic actions at session events, surface planning context so the agent can resume from saved records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming research after a break
• Tracking project phases and decisions
• Recording errors and test results

Generate text and images through a reverse-engineered Gemini Web API, an interface reconstructed from the web service. Use reference images for descriptions or variations, and continue conversations across requests with saved sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from written prompts
• Describing the contents of reference images
• Creating variations from an existing image

Inspect and remove invisible characters from text and AI provenance metadata, information about content origin, from images and documents. It also supports prose rewriting and reports what changed, with limits on verifying watermark removal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Removing invisible characters from owned text
• Cleaning AI provenance metadata from images and documents
• Rephrasing prose while preserving facts and meaning

Audit how a brand appears in AI answers by examining mentions, website citations, competitors, and cited pages. Receive one to three evidence-based priorities, such as improving a page, seeking inclusion in a relevant source, or fixing access barriers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate why AI answers recommend competitors
• Check brand mentions and website citations
• Prioritize pages to improve or create

Build Python applications that collect live cryptocurrency prices, trades, and order books with Cryptofeed. Covers consistent data formats across exchanges, price comparisons, and writing incoming data to storage systems for monitoring and analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring prices across cryptocurrency exchanges
• Analyzing order book depth
• Analyzing executed trade flows

Design hybrid search on AlloyDB by combining meaning-based search, keywords, and SQL filters. Turn requirements into architecture diagrams, database setup scripts, deployment guidance, and validation plans for search applications on Google Cloud.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing product search with meaning-based matching and attribute filters
• Planning result reranking and AI quality checks
• Preparing AlloyDB and Cloud Run deployment guidance

Set up Google's agents-cli and find the right workflow for building AI agents. Connects requirements planning, project creation, implementation, evaluation, deployment, publishing, and monitoring through specialized skills for the Gemini Enterprise Agent Platform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up agents-cli and its specialized skills
• Document agent requirements before writing code
• Find the workflow for creating and evaluating an ADK agent

Guides migration of existing AI inference workloads to self-hosted GKE, Google’s managed Kubernetes service. Covers requirements, GPU sizing, deployment configuration, model storage, validation, and traffic cutover using gcloud and kubectl.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating an existing Cloud Run AI service to GKE
• Planning a self-hosted replacement for Gemini API inference
• Sizing GPUs and preparing deployment configuration

Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a data platform across multiple clouds
• Planning data ingestion and AI serving components
• Preparing infrastructure code and deployment instructions

Find and synthesize official Google developer documentation for platforms including Google Cloud, Gemini, Android, and Firebase. Retrieve command syntax, API details, permissions, and product comparisons through Developer Knowledge, then turn the findings into practical technical answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking gcloud commands and flags
• Looking up API syntax and required permissions
• Comparing Google products and architectures

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Gemini to enterprise applications
• Processing images, audio, and documents
• Generating JSON in a specified format

Build AI features for Dart and Flutter applications with the Genkit Dart SDK. Provides code and documentation for conversational agents, reusable processing flows, prompt files, model integrations, interactive interfaces, and debugging through recorded execution traces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a conversational AI agent to a Flutter app
• Building AI processing flows in Dart
• Managing prompts in separate files