Autonomous agents that do the work.
We build agentic AI systems that plan, connect, execute, and ship — across workflows, tools, and production environments.
Agents that reason about the goal first.
Gordon AI systems start by understanding intent — decomposing real-world objectives into structured plans agents can execute, verify, and revise.
Tools, data, and APIs in one execution surface.
We wire agents to the systems they need — codebases, CMSes, search, video, social, payments — through typed tool adapters that survive production load.
Multi-agent orchestration, end to end.
LangGraph-style execution graphs route work between specialized agents. Branches, retries, human checkpoints, and observability are first-class.
Outputs that ship to the channel, not the inbox.
Articles get published. Videos get rendered and posted. PRs get opened. Reports land in the dashboard. Agents close the loop, not stop at draft.
Learning systems, not static prompts.
Every run is logged, evaluated, and folded back into the graph. Gordon agents iterate on themselves under the supervision of the team that owns them.
Agentic systems for real-world execution.
Gordon AI is an agentic-first AI systems firm. We design and build autonomous agent systems that plan, reason, connect to tools, execute workflows, generate content, publish outputs, and run production processes.
We are not a chatbot shop. We build the infrastructure underneath agentic products: orchestration, execution graphs, content pipelines, observability, and evaluation. The result is software that does the work, not just describes it.
Our flagship proof point is Prediction Market Network — an agentically run news network where agents autonomously produce articles, social posts, video, and connected media outputs end to end.
What we ship.
Multi-agent orchestration
Specialized agents coordinated by a central planner, with handoffs, retries, and human checkpoints built in.
Autonomous content & media pipelines
End-to-end content production: signal → research → article → social → video → publish, run by agents.
LangGraph execution flows
Stateful, branching graphs that route work between agents with checkpoints, retries, and observability.
The substrate underneath.
We build on the agentic stack we use ourselves every day. No black-box vendor lock-in.
- Coding agent runtimeClaude Code
Long-horizon coding agents that plan, edit, test, and ship across real repositories — the substrate beneath Gordon's engineering workflows.
- Generation + tool-useCodex
OpenAI's developer-facing agentic stack for code generation, tool invocation, and rapid task execution where Codex is the right fit.
- Cross-model agent harnessOpenClaw
Open-source agent harness for cross-model orchestration, durable runs, and consistent tool semantics across providers.
- Execution graph runtimeLangGraph
Stateful, branching graphs that route work between agents with checkpoints, retries, and observability built in.
From workflow to autonomous system.
Discover
Map the workflow, the data, and the human checkpoints worth keeping.
Design agent architecture
Pick the right shape — pipeline, graph, or swarm — and the right agents for each role.
Connect tools and data
Typed adapters into your stack: code, search, CMS, video, social, payments, internal APIs.
Build the execution graph
LangGraph branches, retries, evals, and human checkpoints — observable from day one.
Deploy to production
Ship behind feature flags. Monitor cost, latency, and quality in real time.
Monitor and improve
Eval loops feed back into the graph. The system gets better while it runs.
An autonomous media engine.
Prediction Market Network is the proof: a news network where agents do the production end to end.
Prediction Market Network
An agentically run news network where Agent Gordon autonomously produces web articles, social posts, video, and connected media — end to end.
How we work, briefly.
Agentic-first
We don't bolt agents onto static apps. We design systems where agents are the primary execution surface.
Production-focused
Observability, retries, idempotency, and evals are not afterthoughts. They are how we ship.
Modern stack fluency
Claude Code, Codex, OpenClaw, LangGraph — we use the right substrate for the job, not a single fixed stack.
Fast iteration
Small teams. Direct execution. Working software in weeks, not quarters.
Have a workflow worth automating?
Tell us what you want agents to do. We will design the system, build it, and ship it to production.