iisee.me vs Juggler: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of iisee.me and Juggler — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
iisee.me
Charlie Clark (GitHub: charlieclark)
Web app to create customizable AI-generated expression grids for design, character exploration, and visualization.
Key features
- Expression Grid Generation: Creates a multi-cell grid of AI-generated images showing variations in expression, pose, or style to support rapid visual ideation.
- Interactive Web Editor: Web-based interface for previewing grids in real time and adjusting generation parameters without local tooling.
- Customizable Parameters: Controls for seed, style, intensity, and layout to fine-tune how expressions and visual characteristics vary across the grid.
- Export and Sharing: Options to export generated grids (image download or shareable link) for integration into design workflows or reviews.
- Preset Templates: Ready-made templates for common grid layouts and expression sets to accelerate creation for character design and reference.
- Open-Source Repository: Public GitHub repo enabling developers to self-host, inspect generation logic, or extend functionality for bespoke needs.
- Generate AI-created expression grids (collections of expressions/images)
- Web-based frontend built with Next.js
- Database schema defined with Prisma
- Repository includes npm scripts for setup (npm install) and database start (npm run db:start)
- Deployment configuration present (vercel.json) for easy Vercel hosting
- Scripts for database migration and startup (start-database.sh, db-deploy-migrations.sh)
- Source code available on GitHub for self-hosting and extension
Best for
- Character Design Ideation: Quickly generate a matrix of facial expressions to iterate on character looks for games, comics, or animation.
- Animation Reference Sheets: Produce consistent expression grids to guide animators and ensure continuity across scenes.
- Avatar and Emote Creation: Create multiple emotive avatar variants for chat apps, streaming, or social platforms.
- UX and Concept Testing: Generate visual variations for user testing to evaluate emotional impact or recognizability of character designs.
- Marketing Creative Exploration: Rapidly prototype visual concepts showing different emotional tones for ad or social creatives.
- Educational and Reference Material: Produce expression collections for teaching acting, emotion recognition, or illustration techniques.
- Create expression/pose sheets for character design and animation
- Rapidly prototype facial expression variations for game or film art
- Generate visual assets for avatars or social media content
- Self-hosted research or experimentation with image-generation workflows
- Integrate into artist pipelines by extending Next.js API routes or the source code
Juggler
Julian Storer
A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.
Key features
- Branching Conversation Trees: Fork the session at any point, recursively, so competing approaches and tangents run side by side without polluting the main context.
- Miller Column Navigation: A Finder-style column layout lays out tool calls, item properties and nested sub-threads for long reading and editing sessions.
- Transaction Inspector: Open any model transaction to see the assembled system prompt, messages, tool definitions, output, token use, timing and stop reason.
- The Context Surgeon: Fold history into a new thread, move or copy items between branches, expand a branch back into its parent, and undo structural changes.
- Local or Remote Sessions: Run the desktop app locally or the headless binary on the machine holding the code, then attach from the app, a browser or a phone.
- Durable Sessions: Sessions are stored on disk as live-synced Yjs documents, so quits, relaunches and dropped connections do not lose the conversation.
- Automatic Context Sizing: Juggler measures the full request before each call, reserves room for the answer and compacts older history before limits become an error.
- Inspectable MCP Tools: Follow an MCP handoff end to end - schema offered, arguments generated, approval, result and errors - with server status, logs and per-tool filtering.
- JavaScript Extension SDK: Context items, LLM loop strategies, slash commands, viewers and Pinboard tabs are extensions you can fork or replace, under a permissive Apache-2.0 SDK.
Best for
- Exploring Competing Fixes: Branch a thread into two sub-threads to try different approaches to the same bug and compare results before committing.
- Auditing Agent Behavior: Inspect exactly what the model received and returned when an agent makes a surprising edit to the codebase.
- Remote Development: Run the server on a dev box or GPU machine where the repository lives and drive the same live session from a laptop or browser.
- Long Refactors: Keep a multi-hour session alive across quits and reconnects, with the agent paused awaiting approval for its next step.
- Provider Comparison: Drive Claude Code, Codex, Copilot, Gemini and local Ollama models through one interface to compare behavior on the same task.
- Custom Tooling: Write JavaScript extensions that add slash commands, file viewers or new LLM loop strategies to the workbench.
