Prombot vs Decubed

Prombot is the AI tool builder that turns your ideas into custom AI tools — no code required. Build a simple form, write a prompt, connect them with #tags, and run it with powerful AI. Or skip the work entirely: describe your idea in one sentence and Prombot Pro generates the whole tool for you — inputs, prompt, and design. BUILD YOUR OWN AI TOOLS • Add text fields, dropdowns, checkboxes, sliders, dates, and file uploads • Write your prompt once and reuse it forever — inputs fill in automatically • Customize colors, shapes, and layout on a free-form canvas DISCOVER READY-MADE TOOLS • Browse community tools: email writers, resume helpers, story generators, study aids, business tools, and more • Install any public tool with one tap • Share your own tools publicly, or keep them private RUN WITH POWERFUL AI • Fast, streaming responses • Built-in web search for up-to-date answers • Pro: attach files and images, analyze data, and generate downloadable files PROMBOT PRO Upgrade for smarter AI models, one-sentence AI Tool Generation, file & image uploads, data analysis, and higher daily limits. Stop rewriting the same prompts. Build the tool once — use it forever. Terms of Use: https://rakanhall.github.io/terms_of_service/

Decubed is the local-first AI workspace for the models, tools, memory, and agent workflows you choose. Most AI apps start with one model. Decubed starts with your environment. It gives you one place to connect model providers, work with local or remote model paths, keep durable threads, manage memories, and control which tools an agent can use. Use Decubed to: - Bring local, remote, linked-account, and custom models into one workspace. - Keep threads, folders, memory, tools, approvals, and run history attached to your environment. - Approve sensitive tool actions before they run. - Inspect tool calls, waiting states, and completed runs in the thread. - Configure agents around jobs with their own model, prompt, tools, skills, and memory policy. Decubed is designed for people who want model choice without giving up context or control. Run supported models on device when work should stay close to you, or connect hosted providers when a task needs remote capability. Bring the model. Keep the control.