Glossary
Plain-language definitions of the AI terms we use across GOGOGO LLC, our products, and our blog, from "AI agent" and "orchestrator" to FAISS and rerankers.
A software program with a specific role, a defined toolset, and the autonomy to read context, decide on actions, and execute them. Distinct from a single-shot chatbot: an agent loops between thinking, calling tools, and observing results until the task is done.
An architecture in which several specialised AI agents collaborate to solve a problem: typically one orchestrator routes work to domain agents (HR, content, signage, analytics) which hand off intermediate results between each other instead of a single model doing everything alone.
The agent at the top of a multi-agent system. Reads the incoming intent, classifies it, picks which specialised agent should handle it, and tracks the conversation state across hand-offs. The orchestrator owns the run, not any one tool call.
An agent's ability to call external functions, APIs, or services to actually do something (generate an image, send a WhatsApp message, query a database) instead of producing only text. Every GOGOGO agent ships with a strictly-typed tool belt.
The act of one agent transferring control to another, carrying typed context with it. Hand-offs are how multi-agent systems stay coherent across a long task: each agent reads what the previous one decided, instead of re-deriving everything from scratch.
A pattern where the agent retrieves relevant documents, embeddings, or rows from a knowledge base before generating its answer. RAG keeps responses grounded in real data instead of model-internal memory.
Facebook AI Similarity Search: an open-source vector index for fast approximate nearest-neighbour lookup.
A second-stage scoring model that takes the top N candidates from a fast retriever (like FAISS) and re-orders them using richer contextual signals: colour, hanger zone, time-of-day, recent activity, store-specific priors.
Persistent state an agent reads and writes across turns. Short-term memory holds the current conversation; long-term memory holds tenant-specific knowledge: past decisions, document embeddings, preferred phrasing. Always permission-scoped to the tenant.
Built-in tracing of every span, tool call, and state transition inside the agent runtime. GOGOGO captures this by default: no "we'll add logging later". Required for replay-driven debugging and weekly improvement loops.
The rules an agent is not allowed to break: what data it can read, what actions it can execute without approval, what content it must refuse. Guardrails are enforced at the tool layer, not just the prompt.
A predefined route for an agent to bail out to a human (or to another agent) when confidence is low, the request is sensitive, or guardrails block automation. Designed up-front during the Design phase, not bolted on after launch.
An outbound HTTP request a system sends when an event happens. GOGOGO products fire webhooks for completed jobs, agent decisions, approvals, and system events, so customer ERPs, payroll, and data warehouses can react in real time.
An architecture where a single deployment serves many independent customers, each with isolated data, permissions, and configuration. Multi-tenancy is a baseline requirement for any business-grade AI platform.
Meta's official API for businesses to send and receive WhatsApp messages at scale, with templated messages, opt-in flows, and rich content. GoPeople, made by our sister company GOTONOM A.Ş., is built on top of it to deliver HR workflows directly in the channel employees already use.
A content management system for screens, TVs, kiosks, LED walls, across many locations. Lets a central team schedule, version, and deploy content to thousands of screens with audit trail. GoVista is the digital signage CMS of our sister company GOTONOM A.Ş. (govista.app).
Computer-vision technique that identifies when a shopper picks up a specific product in a store, without barcodes, stickers, or RFID. GoTrack, made by our sister company GOTONOM, measures pickups, hold time and put-backs per product and colour with cameras placed close to the products, and can show the product in hand on the screen beside the shelf (gotrackgo.com).
A pre-generation agent that rewrites a user's terse description into a richer, model-friendly prompt, adding style cues, composition hints, and resolution targets. Goddo's prompt enhancer is what makes a one-line idea become a production-grade visual.