Aggregated AI is a no code agent builder that turns ideas into deployable, multi agent workflows. Use pre built pods to connect data and APIs, then assemble agents that plan, retrieve, and act across apps. Swarms coordinate tasks so multiple agents collaborate, while the studio handles context, state, and retries. Apps for iOS and Android let you switch models per task, and web tools include image generation and a coming X agent. Monetization and community rewards help creators package agents, publish safely, and earn from real usage.
Design agents with drag and drop pods that connect to data sources, apps, and tools without writing glue code. Pods handle retrieval, actions, memory, and routing so flows stay readable and easy to maintain. Versioning and previews help owners test changes, while templates accelerate common patterns like research, outreach, and reporting. You can localize prompts and guard parameters per brand or market, keeping tone aligned while scaling output.
Coordinate multiple agents to divide work, hand off tasks, and review results before delivery. Schedules and triggers start jobs, while shared context lets specialists collaborate without overwriting each other. The runtime manages retries and fallbacks so failures recover gracefully and long tasks complete reliably. Owners can cap steps and define review gates to balance speed with oversight on sensitive processes.
Use the Aggre mobile app to switch among leading models and chat on the go, then return to the web studio for full builds. Channels include web chat and messaging, with a no code X agent on the roadmap for social tasks. Image tools add generation with fine tuned styles so campaigns ship with matching visuals and copy. Teams can map model choices to tasks, pairing reasoning heavy steps with fast, low cost variants where suitable.
Package agents as products, publish to a marketplace, and track usage with payouts tied to demand. Community programs reward helpful templates and improvements, creating a library of proven builds. Owners can set pricing, access rules, and update notes so customers know what changed and why. Ratings and analytics highlight quality while discouraging spam, keeping the catalog useful as it grows.
Guardrails constrain actions, and approvals require sign off on sensitive steps before agents run at scale. Logs, metrics, and alerts make behavior observable, while limits cap spend and external calls. Environments separate testing from production so changes promote safely and rollbacks are simple. Owners can audit runs and review prompts to ensure brand and compliance rules are followed.
Recommended for creators, marketers, and ops teams that need repeatable automations without a full engineering build. Use Aggregated AI to research, draft, route tickets, or run storefront tasks where speed and oversight both matter. Agencies can package vertical agents for clients and earn from usage rather than one off projects. Mobile access keeps work moving during launches while the studio handles heavy builds and governance.
Agent ideas often stall in prototypes that are hard to maintain or monetize. Aggregated AI turns them into deployed services with pods, swarms, and guardrails so owners scale confidently. The platform centralizes templates, previews, and rewards, reducing tool sprawl and encouraging reuse. Results are faster launches, clearer visibility, and durable revenue tied to real adoption.
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