ai-job-search vs Miora: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ai-job-search and Miora — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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ai-job-search
Mads Lorentzen
Open-source AI job application framework built on Claude Code — evaluate postings, tailor CVs, write cover letters, and prep interviews on your machine.
Key features
- /scrape Workflow: Pull job postings from configured sources into a structured queue on your machine.
- /apply Workflow: Tailor your CV and generate a cover letter for a specific posting via a drafter/reviewer agent pipeline.
- /interview Workflow: Prep for interviews with role- and company-specific question generation and answer drafts.
- Local-First Execution: Runs entirely on your machine — your profile and application drafts never leave your computer.
- Profile-Driven Personalization: Fork, fill in your profile once, and every application is grounded in your real experience.
- Language & Country Agnostic: Works for job searches in any language and any local job market.
Best for
- Full-Time Job Hunt: Automate the tailored-application pipeline for dozens of postings a week.
- Career Transitions: Reframe your existing profile for a new industry by editing prompts, not rewriting every CV.
- Interview Preparation: Generate role-specific mock questions and structured answers before phone screens.
- Contractor Pipeline: Contract and freelance workers use it to keep applications flowing across multiple platforms.
- Career Coach Tooling: Coaches fork the repo to run structured application workflows for clients.
Miora
Tencent
Tencent's AI creative agent studio that generates images, video, UI/UX, and 3D on one editable canvas with persistent brand memory.
Key features
- Multi-Modal Canvas: Images, video, UI/UX, and 3D are generated and edited on the same editable canvas — no tool switching.
- Agent Orchestration: A single brief spawns multiple specialized Skills (agents) that collaborate to deliver a full asset pack.
- Persistent Brand Memory: Retains logos, palettes, and style across projects so visual consistency holds across campaigns.
- Natural-Language Brief: Describe the deliverable in plain language and Miora plans the sub-tasks across image, video, and 3D agents.
- Production-Ready Output: Compresses weeks-long creative cycles into hours by handing back an asset pack ready for use.
- Unified Project Workspace: The entire creative project lives on one canvas so context, references, and iterations stay in one place.
- Video + 3D Generation: Native support for video and 3D means storyboards and product visuals live alongside static graphics.
- International Beta Access: Available globally via miora.design during the current beta phase.
Best for
- Campaign Asset Packs: Brief Miora once and receive a coordinated set of key visuals, video cutdowns, and UI mockups for a launch.
- Brand-Consistent Content: Rely on persistent brand memory to keep every generated asset on-palette across weeks of campaign work.
- Product Visualization: Combine 3D generation with UI screens to prototype a product page or launch keynote inside one canvas.
- Storyboard to Video: Sketch a storyboard on the canvas and let video agents extend selected frames into short-form video.
- Design + Marketing Handoff: Keep both design and marketing in the same workspace so approvals and revisions never leave the canvas.
- Rapid Concept Exploration: Iterate on multiple visual directions at once — image, motion, and 3D — without spinning up separate tools.