Cleanlist AI vs Juggler: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Cleanlist AI and Juggler — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Cleanlist AI

Cleanlist

Freemium

AI-powered B2B prospecting and enrichment that turns plain-English prompts into verified, CRM-ready lead lists via a 15-provider waterfall.

Conversational List Builder: Describe any target list in plain English and the Co-Pilot returns a fully enriched, CRM-ready set of leads.
15-Provider Waterfall Enrichment: Providers compete in real time on every contact to deliver 98% email accuracy and 85% direct-dial find rates.
Company-First ICP Search: Filter by industry, size, geography, tech stack, hiring signals, and funding stage, then pull every relevant decision-maker.
LinkedIn & Sales Navigator Extension: Open any profile, click Cleanlist, and get a verified email and direct dial in two seconds.
CSV Enrichment: Drop 500 rows and each is run through the full waterfall, returning verified emails, direct dials, titles, and firmographics.
Native CRM Sync: One-click, two-way sync to HubSpot, Salesforce, Pipedrive, Outreach, Salesloft, and lemlist — no Zapier required.
AI Columns and Smart Agents: AI-generated columns add ICP scoring, company summaries, and competitor notes with the reasoning behind each answer.

Outbound Prospecting: Sales reps build targeted lead lists on demand and push them straight to a sequencer.
RevOps CRM Cleanup: Ops teams re-enrich stale HubSpot or Salesforce records to restore email deliverability and phone connect rates.
Inbound Speed-to-Lead: Trigger enrichment on new form fills so reps have full context within minutes of a signup.
ABM Account Expansion: Discover every relevant decision-maker inside a target account list without juggling multiple databases.
Sales Stack Consolidation: Replace ZoomInfo/Apollo plus a separate email verifier and phone tool with one credit-based platform.

Julian Storer

Free

A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.

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.

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.