10 posts found
A generic resume gets ignored. Recruiters and ATS systems filter for exact keyword matches, role-specific language, and tailored experience framing. This guide shows how to use Askimo Plans as your AI resume tailor, automatically analysing a job post, mapping it to your experience, rewriting the relevant sections, and producing a customized resume ready to submit. No prompt engineering required.
MCP (Model Context Protocol) lets your AI do real things, not just answer questions. Connect Askimo Desktop to GitHub, databases, local files, web search, and any API via Stdio or HTTP. Secrets stay in your OS keychain. Works with Claude, GPT, Gemini, and local Ollama models.
Askimo's Script Runner makes AI-generated code actually useful. Run Python, Bash, or Node.js scripts directly inside the app, view real stdout output instantly, and iterate faster without copy-pasting into a terminal. Great for data processing, log analysis, small automations, and reproducible workflows - all local, all private.
New in Askimo: built-in terminal emulator, Model Context Protocol (MCP) integration, a RAG sources tree to inspect exactly what the assistant used, image-model support for multimodal workflows, and major desktop improvements across performance, reliability, and UX.
Compare top 5 Gemini desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. Google AI Studio offers official integration. Msty provides multi-provider desktop chat. BoltAI delivers Mac-native AI assistance. Chatbox offers minimal, lightweight chat. All support Gemini but differ in features, privacy, and multimodal capabilities. Includes setup guides and use-case recommendations.
The best AI desktop app isn't the one with the best single model - it's the one that lets you use ChatGPT, Claude, Gemini, and Ollama together. Switch models mid-conversation, keep sensitive data local, and cut API costs by routing simple tasks to free local models. Askimo is free, open source, and works on macOS, Windows, and Linux.
Askimo 1.2.0 introduces project-based RAG for answering questions using your documents with jvector and Apache Lucene search. Attach PDFs, spreadsheets, images, or code directly in conversations. Docker AI support joins OpenAI, Claude, Gemini, and Ollama. Enhanced project sessions organize knowledge-based chats. Responsive design works across all screen sizes. macOS installer now fully notarized for secure installation.
Compare top 5 Ollama desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. LM Studio offers easy model management. Open WebUI provides self-hosted team workflows. AnythingLLM focuses on document RAG for chatting with PDFs. Chatbox delivers minimal, lightweight chat. All support local-first privacy but differ in performance, RAG capabilities, and features. Includes setup guides and use-case recommendations.
Major Askimo App update adds multilingual support for 10+ languages including English, Vietnamese, Chinese, Japanese, Korean, French, German, Spanish, Portuguese, and Italian. Introduces 18 themes with light, dark, and system-adaptive options. New developer tools include real-time resource monitoring, enhanced debugging, and granular log controls. Significant performance improvements especially on Windows, plus better error handling across all platforms.
Askimo originated from developer frustration with fragmented AI tools. Created as a unified CLI for OpenAI, Ollama, and other providers, it became a daily-use command-line assistant for summarizing documents, writing drafts, and development tasks. Works everywhere via Homebrew, binaries, or Docker. Supports local context for project questions and seamless provider switching. Emphasizes reusable prompts and command recipes for DevOps automation.
