αCapabilities

What we build.

The agentic surfaces, pipelines, and infrastructure Gordon AI ships into production.

01Agentic systems

Multi-agent orchestration

Specialized agents coordinated by a central planner, with handoffs, retries, and human checkpoints built in.

Gordon AI designs and builds multi-agent systems where each agent has a defined role, tool surface, and quality bar. A central planner — Agent Gordon, when applicable — routes work, mediates conflicts, and closes the loop.

→Specialized agents for research, writing, code, media, and publishing
→Typed tool adapters with retry, idempotency, and dead-letter handling
→Human checkpoints where approval matters; full autonomy where it does not

LangGraphClaude CodeCodexOpenClaw

02Production AI

Autonomous content & media pipelines

End-to-end content production: signal → research → article → social → video → publish, run by agents.

Agents that produce real outputs — articles, threads, video, briefings — and ship them to the channel. Powered by the same architecture behind Prediction Market Network.

→Signal capture and research synthesis
→Drafting, editorial review, and tone tuning
→Multi-format rendering: long-form, social, video
→Direct publish to web, social, and distribution endpoints

Claude CodeLangGraphCustom video stack

03Agentic systems

LangGraph execution flows

Stateful, branching graphs that route work between agents with checkpoints, retries, and observability.

We design execution graphs that survive production. Branches resolve at runtime based on agent decisions; checkpoints make every run resumable; observability is in from day one.

→Branching flows with conditional routing
→Checkpointed state for resume and replay
→Tracing per node, per agent, per tool call

LangGraphOpenClaw

04Agentic systems

Swarm research agents

Parallel research swarms that fan out, gather signal, and converge on a synthesized answer.

When the task benefits from breadth — competitive scans, market mapping, deep research — Gordon agents fan out, work in parallel, and reconcile findings into a single artifact.

→Parallel exploration with deduplicated findings
→Confidence-weighted synthesis
→Citation trails preserved end to end

Claude CodeLangGraph

05Platform

Production AI infrastructure

Observability, retry policy, dead-letter queues, eval loops — the operational glue agents need to run for real.

Agents in production are infrastructure. We bring the operational practices the rest of your stack already has — monitoring, retries, idempotency, evals — and apply them to your agentic systems.

→Per-run observability and structured logging
→Cost and token attribution by agent / tool
→Eval harnesses that gate deploys

Internal harnessOpenClaw

06Production AI

Agentic workflow pipelines

Linear, repeatable agent pipelines for ingestion, processing, and output — the workhorses of agentic systems.

Not every workflow needs a graph. For straight-through processes — extract, transform, generate, file — Gordon ships durable agent pipelines that run on a schedule or on demand.

→Schedule- and event-triggered runs
→Structured outputs with schema validation
→Backfills, replays, and partial reruns

Claude CodeCodex

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Have a workflow worth automating?

Tell us what you want agents to do. We'll design the system and build it.

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