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JevModel vs Tulsk

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

JevModel compared with Tulsk
DetailJevModel logo JevModelTulsk logo Tulsk
What it doesStructured AI decisions via API and playground Autonomous AI agents that plan, execute, and deliver work without setup or babysitting
StageNot given Startup
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingFree: 5 successful runs per UTC day after email verification. Starter: $9.90/month for 30M tokens/month. Builder: $19.90/month for 80M tokens/month. Pro: $39.90/month for 200M tokens/month. Scale: $79.90/month for 500M tokens/month. Tokens refresh monthly and do not roll over. One-time token packs a Free: $0/month with unlimited projects and tasks plus $2 of agent work to get started, no credit card required. Starter: $39/month with $50 of agent work monthly and up to 6 AI agents. Pro: $99/month with $120 of agent work monthly and unlimited agents, marked as most popular. Enterprise: custom pri
Key features
  • Choice decision type: select from supplied options
  • Score decision type: assign level on defined scale
  • Noul decision type: yes/no judgment against criterion
  • Decision flows: chain questions on canvas with branching
  • Batch processing for CSV, TXT, JSONL files up to 1,000 rows
  • Shared account balance across console, batch and API
  • Export results as CSV or JSONL
  • Failed requests are refunded
  • Probabilities included with all answers
  • Create agents by describing their role in natural language; Tulsk automatically builds them with the right skills, tools, and schedules
  • Agents run continuously in the cloud on schedules, events, mentions, or connected channels without user intervention
  • Memory system that learns preferences and project context, separated between personal and team-shared knowledge
  • Reusable skills that agents follow consistently without re-explanation across the entire team
  • Approval system for writes to connected apps and new connections before agents act
  • Connect Slack, Telegram, or WhatsApp for agents to receive and respond to messages with the team's preferred communication tools
  • Real workspace files created by agents with live preview; files persist even when the workspace computer sleeps
  • Mac desktop app for quick access via keyboard shortcut to chat, inbox, and workspace in any application
What makes it different
  • One API and console for playground, flows, batch and API access
  • Only questions on the executed path in flows are billed
  • Built on TypeSafe AI's Jev structured decision model
  • Test and measure decisions on your own data before production
  • Custom decision criteria defined by your own labels and rules
  • Agents run autonomously in the cloud without requiring setup, configuration screens, or DevOps knowledge
  • Integration with any HTTP API, MCP server, or internal company API without agents being limited to one suite
  • Reusable skills and shared knowledge layer allow teams to teach patterns once and have all agents follow them consistently
  • Free tier with unlimited projects and tasks plus $2 of agent work lets teams start and explore without credit card commitment
Community votes00
DR (Domain Rating by Ahrefs)27 no change since last check23 no change since last check
Trust Flow (Majestic)93
Citation Flow (Majestic)2730
Referring domains (Majestic)79122

4 details filled in for both companies.

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