How orchestration works
UnaGo analyses your goal and assigns tasks to the right specialist agents automatically. Marketing copy goes to the marketing agent. Data analysis goes to the research agent. Each agent works in their domain of expertise.
Some tasks must happen in order. Others can run simultaneously. UnaGo identifies dependencies and executes work serially when needed, in parallel when possible â maximising speed without breaking logical flow.
Every agent in a workflow sees the same brief, brand guidelines, files, and goals. No re-explaining. No context loss. Agents build on each other's work, not start from scratch.
Learning and memory
UnaGo maintains conversation history, project files, brand notes, and past decisions across sessions. Agents recall what worked before and apply those lessons to new work.
When you correct an agent or approve a deliverable, UnaGo learns from that feedback. Future work reflects your preferences, tone, and standards â without you repeating instructions.
Files, notes, and deliverables are stored with semantic meaning, not just filenames. Agents can search by concept, find related work, and reference past projects intelligently.
Atomic agents
Atomic agents skip the planning phase when the task is clear. They receive specific instructions and execute immediately using only the tools they need â no exploration, no trial and error.
Every agent call has a cost. Atomic agents use only required tools and models, avoiding unnecessary API calls or expensive reasoning when simple execution will do.
Atomic agents excel at focused work: format a document, send an email, update a CRM record, generate an image. They do one thing well, fast, and reliably.
FAQ
UnaGo analyses your request and matches it to specialist agents based on domain, task type, and complexity. Marketing work goes to marketing agents. Research goes to research agents. You don't need to specify which agents to use.
Yes. You can specify dependencies and sequencing in your brief, or let UnaGo determine the optimal order automatically based on task relationships.
UnaGo monitors agent execution and can retry failed tasks, route work to alternative agents, or escalate to you for approval when needed.
Yes. All agents in a workflow share the same context, files, and deliverables. Work produced by one agent is immediately available to others in the same project.
