Comparison
Codelit turns a plain-English outcome into a visual AI Agent Team workflow, then lets you run it with bounded tools, browser access, approvals, and durable evidence. When the workflow is proven, Plan & Ship creates the supporting Product Plan, Architecture, repo pack, and GitHub handoff.
Strength: Fast reasoning, drafting, coding help, and one-off tool use in a conversation.
Where Codelit goes further: Codelit turns the job into a persistent visual team with explicit handoffs, permissions, approvals, run modes, and evidence.
Strength: Clear triggers and deterministic app-to-app steps for repeatable business automation.
Where Codelit goes further: Codelit adds specialist AI roles, model routing, evaluations, browser work, human approval, and a human-readable Team Flow above the execution detail.
Strength: Deep runtime control for engineering teams ready to own orchestration code and infrastructure.
Where Codelit goes further: Codelit lets technical and non-technical teammates review the same visual workflow, prove it with bounded runs, and export a repo-ready handoff when code ownership is needed.
Strength: Focused product requirements, architecture diagrams, or engineering documentation.
Where Codelit goes further: Codelit starts with the Agent Team that performs the job, then Plan & Ship derives the Product Plan, Architecture, repo pack, and GitHub handoff from accepted evidence.
One outcome becomes a visual team, a supervised run, durable evidence, and a reviewed delivery handoff. Technical and non-technical users can work from the same flow without confronting every advanced control at once.
Codelit is a visual AI Agent Team workflow builder. It helps teams design specialist roles and handoffs, connect bounded tools, run and supervise the workflow, keep evidence, and then Plan & Ship the supporting product and system artifacts.
A chat assistant is ideal for conversational reasoning and one-off work. Codelit makes the operating workflow persistent and visual, with specialist responsibilities, explicit permissions, run modes, approvals, connected tools, and evidence that can be reviewed after the conversation ends.
Automation canvases are strong for explicit triggers and deterministic app steps. Codelit is centered on supervised AI Agent Teams, adding specialist roles, model routing, evaluations, browser work, human approval, run evidence, and a simplified Team Flow above exact execution steps.
Not always. Code-first frameworks offer deep implementation control. Codelit helps a wider team design, verify, and approve the operating workflow first, then export a repo pack and GitHub handoff when engineers are ready to own the runtime in code.
There is a free tier (10 generations a day signed in), plus Pro at $5/month and Team at $15/month, each with a 7-day free trial.
Start from a runnable template or describe the outcome in your own words.
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