Announcing Dromos Console: Ship a Working AI Agent in ~10 Minutes

Let's be honest: most "AI agent builders" today still feel like software projects. You're dragging boxes across a canvas, wiring if/else branches, juggling connectors, and hoping nothing breaks. That's not what the future of agents should feel like.

With Dromos Console, we're making a different bet. You shouldn't need to become a low-code engineer to automate your work. You should be able to say what you want once—"build an agent to reconcile my invoices"—and ten minutes later, you're looking at a working, production-ready agent. No canvases. No flowcharts. No YAML. Just an agent that actually does the work.

Why Knowledge Foundry Matters

Across every pilot we ran, the first instruction was always the same: "upload your files." Two days later those copies were stale, permissions had drifted, and the team had to repeat the exercise. It wasn't a tooling bug—it was the wrong mental model. Knowledge shouldn't be ferried into a new silo just to be useful.

Knowledge Foundry starts from that admission. Instead of moving data, you mount your sources and we go to them. Drive, SharePoint, Gmail/IMAP, S3, wikis—connected once, respected as-is. The agent works where the truth already lives, under the same permissions and governance that protect it today.

• Stay connected: mount once; agents always see the live version—no re-uploads, no drift.
• Stay contextual: graph-native understanding of entities, obligations, and relationships—not just text chunks.
• Build without friction: notebooks for cleaning messy data and shaping reasoning graphs, then push straight to your graph DB (no code required).

This is the bar we're holding ourselves to: automation that meets knowledge where it lives, keeps its context, and earns your trust by design—not by afterthought.

How We Think About Agents

We think of agents like mini human beings. I genuinely believe that's the right mental model. An agent has a brain (the LLM) and hands and legs (the tools) to get real work done. If that interpretation is correct, a few things follow.

First, agents shouldn't just answer—they should act. Second, they should be personal. Everyone should be able to create an agent that understands their style, their way of working, and the boundaries they care about. Not a generic bot, but a mini-you you can trust to operate in your world.

• Your style: tone, voice, and preferences that feel like you.
• Your boundaries: policies, approvals, and redaction that reflect your risk appetite.
• Your connections: mounted sources and tools you actually use—no file ferries, no shadow copies.
• Your outcomes: "done" work, not just drafts—filed, notified, reconciled, routed.

This is what Console optimizes for: a brain you don't have to program, and hands you don't have to wire. Say what you want once, mount your world, and publish. The agent learns your style, respects your guardrails, and gets on with the job.

Why Console Is Different

We're outcome-first, not canvas-first. Plenty of tools hand you a toolkit. Console hands you an agent that finishes work. Extract, validate, file, notify—wrapped in guardrails, policies, and full audit history you can actually trust.

If your team already runs MCP servers, great—we support them. But Console is built for the post-MCP world, where you don't have to stitch infrastructure just to see value. Say the outcome once, mount your world, publish.

Real Agents You Can Ship in 10 Minutes

• Invoice Reconciliation — read invoices from email/Drive → compare to ledger → post diffs → notify in Slack.
• Claims Triage — parse PDFs → spot missing fields/codes → create a case → route it.
• Procurement Reader — pull vendor, amount, terms → append to sheet/DB → alert on anomalies.
• Meeting Analyst — ingest notes + calendar → generate action items → assign follow-ups.
• Policy QA — scan documents → flag violations → draft redlines and clean copies.

These aren't mockups. You can build each of them in minutes—today.

What's Under the Hood

• Agent Memory — preferences, context, and history that persist so agents learn your style over time.
• Agent P2P — agents can delegate and collaborate when workflows branch beyond a single lane.
• Data Cleaning Agent — schema mapping, validation, and normalization for the messy real world.
• Graph Reasoning — entity linking, obligation logic, and relationship-aware decisions (not just text matching).
• Nexus Protocol — secure tool authentication and capability grants so agents act with least privilege.

Try Console

Skip the canvas. Ship the agent. Say what you need once, mount your sources, and publish. We'll handle the guardrails, governance, and all the messy plumbing.

Join the Console waitlist today and help shape the future of agentic knowledge work.