{"@":{"v":"gdom/1.2","profile":"https://dng.ai/gibberdom/gdom-1.2.json","proj":"text","index":"https://dng.ai/_gdom/manifest.json","site":"https://dng.ai/_gdom/site.gdom","self":"https://dng.ai/_gdom/platform/index.text.gdom"},"text":"# A single agentic operating systemfor enterprise marketing.\n\nFour layers that compose together — from the visual canvas your marketers actually use, to the multi-cloud runtime your CISO actually signs off on. Built model-agnostic, cloud-agnostic, and audit-ready from day one.\n\n## Four layers. One workflow.\n\nEach layer is independently powerful. Together, they're how a 12-person marketing team out-ships a 50-person one.\n\n### Build agentic workflows visually. No code.\n\nDrag-and-drop canvas to compose 80+ nodes into intelligent workflows. Prototype an end-to-end content pipeline in 30 minutes — not 30 days.\n\n### Autonomous agents that reason, act, and collaborate.\n\nThe AI Agent node is a true reasoning runtime. Multi-agent teams share memory, debate, and ship. Model-agnostic, tool-equipped, MCP-ready.\n\n### Production-grade execution at any scale.\n\nIntensive Jobs Orchestrator runs thousands of workflow instances in parallel — with retries, quotas, and resumable runs. Multi-cloud by design.\n\n### 30+ enterprise integrations. Anything else via MCP or REST.\n\nPlug into the tools your marketing org already runs. Need something custom? REST API or MCP server in minutes — not a quarter-long integration project.\n\n## Visual canvas. Real engineering rigor.\n\n### Marketing ops designs it. Engineering reviews it. The agents run it.\n\nThe Studio is where workflows are born. Drop in nodes — inputs, AI models, integrations, tools, transformations — and wire them together on a canvas any marketing operator can read. Conditionals branch by content type. Loops fan out across millions of records. Human-in-the-loop nodes pause for approval at the moments that matter. Variables thread data through the whole pipeline. Versioning means you can ship to staging, A/B against production, and roll back instantly.\n\nIt's not Zapier. It's not Make. Those tools were built for \"if this then that\" before AI agents existed. The Studio was built for the world where the most important step in a workflow isn't a transformation — it's a decision an agent makes.\n\n#### Drag-and-drop canvas\n\n80+ pre-built nodes — AI, integrations, tools, I/O. Compose visually, no syntax to memorize.\n\n#### Variables & templating\n\nPass data fluently between nodes. Reference any upstream value with one click.\n\n#### Conditionals & loops\n\nBranch by content type, region, customer tier. Loop over thousands of rows without writing a for-loop.\n\n#### Human-in-the-loop\n\nPause the workflow for human approval. Re-route based on the response. Ship safe.\n\n#### Versioning\n\nDiff workflow versions, roll back, branch and merge. Ops gets git-level rigor without the git.\n\n#### Teams & roles\n\nOwner, Admin, Builder, Viewer. Share workflows across the org with the right permissions.\n\n## The agent is the unit of work.\n\n### Reasoning agents that plan, decide, call tools, and collaborate in teams.\n\nThe AI Agent node isn't a wrapper around an LLM call. It's a runtime: give it a goal, a set of tools, and the constraints it should respect, and it will reason its way through. It picks the right tool for each subtask. It re-plans when something fails. It asks for help when it needs to.\n\nSpin up a multi-agent team — researcher, writer, editor, distributor — and they share memory, hand off context, and argue about output quality until it's good enough to ship. This is how you produce 24 articles a day instead of 2, without compromising voice or accuracy.\n\nAnd because we're MCP-native, any agent can be extended with your internal systems — your data warehouse, your CMS, your brand guidelines, your CRM — without us writing a custom integration.\n\n#### AI Agent node\n\nAutonomous reasoning, tool calling, sub-goaling, retries. The closest thing to a marketing analyst that doesn't need sleep.\n\n#### Multi-agent orchestration\n\nCoordinate specialist agents on a shared brief. Built-in protocols for handoff, debate, and consensus.\n\n#### MCP servers\n\nConnect external Model Context Protocol servers — Linear, Slack, Notion, your internal APIs — and extend any agent.\n\n#### Tool use\n\nWeb search, code execution, file I/O, custom APIs. Agents pick the right tool for the job, automatically.\n\n#### Memory & knowledge bases\n\nAttach knowledge sources to ground agents in your brand voice, product docs, and historical performance.\n\n#### Specialized AI nodes\n\nCSV Analyzer, Text-to-Image (Imagen), Image-to-Video (Veo, Sora, Kling), Upscale, Video-to-Text — for when general-purpose isn't enough.\n\n## Bring your own model. Or every model.\n\nRoute long-form generation to Claude, structured reasoning to Gemini, image gen to Imagen, video to Veo, cost-optimized batch to open-source on your own infrastructure. Switch providers without rewriting a workflow. Pay for performance, not vendor lock-in.\n\n### Claude Opus & Sonnet · Gemini 2.5 / 3 Pro · GPT-4\n\n### Llama 3 · Mistral · Self-hosted on your VPC\n\n### Imagen 4 · Veo 3 · Sora · Kling\n\n### Google Vertex AI · AWS Bedrock · Anthropic · OpenAI · OVHcloud\n\n## Built to ship a million workflows.\n\n### The Intensive Jobs Orchestrator turns a workflow into a production system.\n\nA workflow is the recipe. The Orchestrator is the kitchen. Schedule runs on cron-like triggers, fan a single workflow out across tens of thousands of inputs in parallel, batch-process a 50,000-row spreadsheet overnight, resume from where you left off when a flaky third-party API blinks.\n\nQuota-aware so you don't burn through your model budget. Retry policies you control. Distributed by default — runs on whichever cloud has capacity. This is what makes the difference between a clever demo and a production marketing system you can actually depend on.\n\n#### Batch processing\n\nProcess thousands of rows, URLs, or records in a single workflow run. One click, parallel execution.\n\n#### Scheduling & triggers\n\nCron, webhooks, API triggers. Run a workflow nightly, hourly, or in response to an event.\n\n#### Retries & quotas\n\nConfigurable retry policies. Quota management across model providers — no surprises in your AWS bill.\n\n#### Resumable runs\n\nPick up where you left off after a failure. Never re-process work you already paid for.\n\n#### Multi-cloud execution\n\nRun workloads on GCP, AWS, OVHcloud. Avoid vendor lock-in. Move compute where the data lives.\n\n#### Observability\n\nReal-time logs, metrics, latency, cost per run. Know exactly what your agents are spending.\n\n## Already connected to your stack.\n\nPre-built nodes for the platforms enterprise marketing teams actually use — not a curated list of \"AI-friendly\" tools.\n\nMissing one? Build it yourself in the Studio with the REST API node or an MCP server, in minutes. The platform doesn't care if it's a public API or your internal Postgres — it'll connect.\n\n## Every agent decision, logged.Every workflow, auditable.\n\nAgentic AI without governance is a liability. The Traceability Manager logs every action every agent takes — what it decided, what it called, what came back. Debug a workflow in minutes. Pass a brand-safety audit without breaking a sweat.\n\n### Full audit trail\n\nEvery node execution, every model call, every tool invocation captured with inputs, outputs, and timing.\n\n### Replay & debug\n\nReproduce any historical run. Diff outputs across versions. Pin down what changed when something regressed.\n\n### Compliance-ready\n\nExport logs for SOC 2 / GDPR audits. Per-organization isolation. 30-day retention with manual purge.\n\n### Enterprise on every layer.\n\nRun D&G as managed SaaS, in a private cloud, or fully on-premise behind your firewall. Your data, your models, your choice.\n\n- TLS 1.3 in transit, AES-256 at rest\n\n- SAML 2.0 SSO & SCIM provisioning\n\n- Role-based access: Owner / Admin / Builder / Viewer\n\n- Per-organization data isolation\n\n- OAuth integrations with token rotation\n\n- Multi-cloud: GCP, AWS, OVHcloud\n\n- On-premise & air-gapped deployments\n\n- 30-day workflow log retention, manual purge\n\n## Headless. API-first. Yours to extend.\n\nEvery workflow is a REST endpoint. Trigger from your app, your CMS, your CI. Stream results. Manage credentials with first-class API keys.\n\n### POST /workflow/run\n\nFire any workflow synchronously or asynchronously with a single API call. Pass variables. Stream output.\n\n### GET /run/:id\n\nPoll the status of any execution. Get inputs, outputs, logs, and error context — all via API.\n\n### API keys & scopes\n\nGenerate, rotate, and revoke API keys. Scope by workflow, by environment, by team.\n\n## Questions about the agentic marketing platform.\n\nAn agentic marketing platform combines AI agents, workflow automation, integrations, and production controls in one system. Draft & Goal lets enterprise marketing teams design workflows visually, give agents access to approved tools and knowledge, and run the resulting processes with human oversight and a complete audit trail.\n\nThe platform has four connected layers: Studio for visual workflow design, Agents for reasoning and tool use, the Orchestrator for scheduled and high-volume execution, and Connectors for REST, MCP, and pre-built integrations. Data and decisions move through the same traceable workflow from input to outcome.\n\nYes. Teams can assemble workflows in Studio with drag-and-drop nodes, variables, conditions, loops, and human-approval steps. Developers can still extend workflows through REST APIs and MCP servers when a custom system or capability is required.\n\nYes. Draft & Goal is model-agnostic, so teams can choose different supported models for different steps and change providers without rebuilding the workflow. This makes it possible to balance quality, latency, cost, and deployment requirements by task.\n\nWorkflows can include human approval checkpoints, role-based access, versioning, retries, and resumable runs. The Traceability Manager records node executions, model calls, tool use, inputs, outputs, and timing so teams can review, debug, and audit what happened.\n\n## The platform tour is the easy part.The fun starts when you build something with it.\n\n30-minute call. We'll map one of your highest-friction marketing workflows onto D&G, live, with your data and your models.\n\n## Outbound links\n\n- [Book a demo →](https://dng.ai/book-demo/)\n\n- [See it in action](https://dng.ai/solutions/)\n\n- [Draft & Goal](https://dng.ai/)\n\n- [Read the docs](https://docs.dng.ai/)\n\n- [Read the API reference →](https://docs.dng.ai/api-reference/getting-started)\n\nSite navigation: https://dng.ai/_gdom/site.gdom\n\nFull page index: https://dng.ai/_gdom/manifest.json","links":[{"rel":"internal","href":"https://dng.ai/book-demo/","path":"/book-demo","label":"Book a demo →","gdom":"/_gdom/book-demo/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/solutions/","path":"/solutions","label":"See it in action","gdom":"/_gdom/solutions/index.text.gdom"},{"rel":"internal","href":"https://dng.ai/","path":"/","label":"Draft & Goal","gdom":"/_gdom/index.text.gdom"},{"rel":"external","href":"https://docs.dng.ai/","label":"Read the docs"},{"rel":"external","href":"https://docs.dng.ai/api-reference/getting-started","label":"Read the API reference →"}]}