AGENT BUILDER
No-code agents on approved models, tools, prompts and data channels.
Most enterprise AI projects repeat the same work. Agent Builder ships the parts — model access, prompt management, retrievers, evaluation, observability, guardrails — and lets the team focus on the business logic.
Nobody builds a CRM from scratch. Nobody builds an ERP from scratch. AI is now that kind of capability — a horizontal layer that needs reusable parts. Agent Builder ships those parts.
Most assistants ship in 1–2 days on Kosmoy. The same work in custom Python is months.
Templates to start from.
Productivity assistant
Drop-in replacement for ChatGPT-Enterprise / Copilot for content generation, summarization, drafting, scheduling. Governed.
Sales-support assistant
RAG over product docs, datasheets, certifications. Multilingual. Faster customer answers.
Legal assistant
Web research, contract portfolio RAG, renewal tracking, clause analysis.
HR engagement bot
Anonymous, multilingual engagement interviews. RAG over policies.
Market intelligence
Web monitoring, structured competitor sheets, market memos.
Onboarding orchestrator
Account creation, welcome emails, ticket filing, calendar invites — bounded by human approval cards.
Six features under the hood.
Approved models and tools
Pick from the Gateway-approved set. No keys leak; no shadow models.
Prompt management
Versioning. Diff. A/B. Track every change. Roll back from any version.
Compliant QA
Recorded testing sessions before rollout. Prompts, outputs, evaluator notes, policy events, approval evidence.
Pre-built integrations
Office 365, Google Workspace, Teams, Slack, WhatsApp, Telegram, Salesforce, ServiceNow, SharePoint, Confluence.
Data channels
Connect to vector DBs, document stores, file stores. Configure ingestion pipelines without code.
Compliant deployment
Each agent linked to a Use Case record. Approvals reused. Evidence routes to the dossier.
Module questions, answered straight.
Is this no-code?
Yes for most of the configuration: model selection, prompts, retrievers, integrations, guardrails, deployment surfaces. Custom logic that the templates don't cover can drop into Custom Apps inside the platform.
How does it differ from a generic LangChain / LlamaIndex stack?
Agent Builder ships the parts that LangChain expects you to assemble: model access, retrievers, prompt management, evaluation, observability, guardrails. All of them governed through the Kosmoy AI Gateway. No plumbing to rebuild.
Can a built agent run inside an Action Capsule?
Yes. An Agent Builder agent can run behind a Gateway (Phase 2) or inside a paired Action Capsule (Phase 3). The configuration is the same; only the deployment target changes.
What about prompt evaluation?
Compliant QA records test sessions before rollout: prompts, outputs, evaluator notes, policy events, sign-off. Sessions become Article 17 evidence in the AI Act dossier.
Build a governed AI app in days.
Walk through Agent Builder with one of the templates, end-to-end.