GrokBot plus Jev routes tasks across multiple models
A setup links paid Grok, Claude, Codex and GPT subscriptions into one agent where Jev judges task difficulty, routes work to the best-suited model, and checks the result against the original goal.
this Jev bot setup is f**king wild. someone connected GrokBot to Jev and turned the AI subscriptions they already pay for into one agent that chooses the right model for every task. the interesting part is how the pieces fit together: → GrokBot handles the conversation and computer → Jev analyzes the task → Grok completes the work it is good at → harder tasks get routed to Claude, Codex or GPT → Jev checks the result against the original goal here’s the workflow: 1. send a task to GrokBot like you normally would. 2. Jev reads the request and decides whether Grok can handle it efficiently. 3. if another model is better suited for the job, Jev routes the task automatically. 4. Claude can handle motion design and deeper creative work. 5. Codex can take over web design and coding tasks. 6. the selected model works directly on GrokBot’s computer while you keep using the chat. 7. once the work is finished, Jev compares the output with the original goal before returning it. the useful part: every model has one specific job. Grok stays fast and handles the conversation. Jev decides what should happen next. Claude, Codex and GPT only step in when their capabilities are actually needed. instead of forcing one expensive model to do everything, the system routes each task to the model that can complete it best. and because it can run through the ChatGPT and Claude subscriptions you already use, you do not need to rebuild the entire workflow around separate API calls. one bot on the surface. several specialized models working underneath. Codila’s demo and the full Jev architecture are in the original post below. save this for your next multi-model agent build.
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