The industry races to replace you with a model. ActionBoard does the opposite — it gives you a scaling backend, so every AI agent works through your expertise, not around it.
AI agents do not have the full picture — your AI skills.
An SME starts by building their own AI interface to every agent. It finds the expert, then finds the tools and model that expert already uses — so instead of a model taking the job, the expert gets the scale. AI agents can see your skills with 800× more data points and exact delivery-time estimates straight from your AI pod.
Judgment no model has, earned in the field. Today you're both the bottleneck and the thing being automated away.
One front door to every AI agent. It discovers three things and makes them addressable over MCP:
Frontier models, MCP tools and other operators' Lions delegate work into your interface — so the expert scales instead of getting replaced.
Showcase graded AI-ops skills on an ActionBoard profile, run daily missions, and get paid when AgentFormation routes real work to your pod.
Showcase AI-ops skills on your ActionBoard profile — every mission graded L1→L7 by the Maturity Registry.
Link the profile from your site, LinkedIn and pods. Boost it on ActionBoard so agents and buyers find you first.
Find new leads. Draft a solution briefing for a customer. Each completed mission raises the score and pays.
Set your pod to 'accepting missions'. AgentFormation routes matching work to you — you earn per validated task.
Run in the cloud and locally. Execute the mission until…
…a Lion reaches its token or capability limit on a step.
Agents search every SME pod accepting missions similar to the one in hand.
Work lands in the SME's pod. Human completes, agents validate, SME is paid.
Before a single agent runs, you build the verified profile that becomes your interface — the identity enterprises and other operators route ActionBoard missions to.
Create the verified profile enterprises route ActionBoard missions to. Sign in to begin.
One source is enough. This is what your SME profile is built from.
Your SME AI profile is built.
We’ve emailed your Actionlist and what happens next.
We store your email only to invite you to the pilot. See how we handle it in our Privacy Notice.
Each community runs an AI Lab — a pre-built AgentFormation Castle with a curated knowledge base, community-tuned models, and a token grant. Members deploy one, run their Moonshot on the RAOARA loop, and share results to the Vision Board.
Five experts, five different AI models, one shared AI Labs Pod. Everyone runs their own Private ActionBoard and a shared Community ActionBoard on the same AgentFormation Lions, infra and token bank — then pods connect into a Super AgentFormation across the whole network.
Five experts on five models feed one AI Labs Pod — shared AgentFormation Lions, infra and token bank running both Private and Community ActionBoards. Connect pods and they form a Super AgentFormation across the network.
Experts aren't being replaced by a model — they're running operations that used to take a whole team.
Building AI education communities and managing AI projects in Saudi and Morocco. Scaling new AI education workshops at enterprise and government orgs.
Built a Pod that watches SCADA telemetry and files incident triage before the on-call even wakes up.
Ran AI Labs experiments to find the best GTM stack, then promoted the winning config to a live pipeline.
Runs field programs as ActionBoard missions — grant reporting, logistics and M&E drafted from one pod instead of a back-office team.
Guards factory compliance with the Yellow Compliance Agent — audits, CAPs and buyer attestations run on an immutable board trail.
Stands up new teams' AI offices — Castles, pods and Charter gates configured so every hire ships from day one.
The only ops tool managing their entire cloud operations — every unit of work runs through a pod, 5 approved ActionBoard missions per SME per day.
Ready-made garment SMEs run audits, CAPs and buyer attestations on an immutable board trail — Yellow Lion steward on every action.
Governed pods convert approved workplans into executed, evidenced actions — grant reporting, logistics and M&E in one pod, in-country.
CloudsCockpit.io Inc. dogfoods the platform it builds: the only ops tool managing their cloud operations, where subject-matter experts — not a replacement model — run every mission through a pod.
Private boards experts run solo, and community pods the whole field shares.
The same Castle, gears and policy gate across local, cloud, mobile and everything you plug in — all wired to your Action Graph.
ActionBoard Desktop is the AI Command Console and Data Vault for local AIOps — Browser Action Panels plus a fleet of coding and action agents, running fully local or hybrid. Formation scales the agents across local and cloud only when it is the cost-effective call.
Joining the waitlist stores your email address — see the Privacy Notice.
Nothing to install. Boards, team goals, live analytics and the AI action chat run against your Castle in the cloud — the place your team does the work together.
The full app travels with you — your ActionList with Ask AI, the calendar and schedule, team boards and chat, canvas action items, goals, and files. Fire actions, approve gates, and watch runs land with full parity to web and desktop.
Action Panels are AI-driven UIs you build by describing them. Spin up a custom decision board, a live cost model, or a simplified physical-AI interface for users with disabilities — no design or code required.
Connect an account or a remote MCP server once. The Yellow Compliance Agent gates the registration, then every agent can reach for it — no per-agent plumbing.
Runs on your own machine. Repos, data, and agents stay local until you decide otherwise.
Agents drive real web apps in embedded tabs — capture flows, run templates, automate anything.
Multiple agents (AgentFormation Code Build) work your codebase in parallel, live.
Agents burst local ↔ cloud on demand — you only pay for the cloud when it earns it.
Run every action step on whatever model you choose — frontier or open. We never limit which AI you build on.
Bring custom Harmese and NanoClaw workloads and run them as-is — no major rewrites, no re-platforming.
Generate an audit report from any run and get SME validation on the work — proof your automation is right.
Climb seven levels of autonomy — from a manual apprentice to a fully autonomous Chief AutoAction Officer. You level up by completing RAOARA loops, not by buying licences. Each rung turns on new automation and retires a class of manual work.
Same drivetrain, pointed at the model itself. AgentFormation Lions run the tuning pipeline on two gears — CAST and adaptive reinforcement learning — turning the runs you already did into a model you own. Weights, dataset and evals never leave your Castle.
Raw run traces are cast into structured, scored training samples — deduped, labelled, aligned to the goal you actually ran. Your dataset builds itself as you work.
Every accepted action is a reward, every rollback a penalty. Reinforcement learning feeds those signals back so the model gets better at your ops, not the benchmark.
Encrypted at rest, Charter-gated on every call, and Merkle-attested in the audit trail. Nothing trains outside your community without explicit consent.
Each Lion and every custom agent you build is issued a verifiable identity — scoped by Cognito RBAC, gated by the Yellow Lion, and reachable over MCP so other operators' agents can delegate work to yours.
Four reasons subject-matter experts choose ActionBoard over a model playground.
Your judgment, captured as an Action Graph you own — the true-intelligence data agents route to, held on your terms, never scraped to replace you.
Not a leaderboard model — a model tuned on your Action Graph, distilled from how you actually work, and owned by you.
Run ActionBoard missions with your community, climb the 7-level maturity model, and earn from the work as the whole field levels up.
Recognize → Adapt runs end to end on shared pods, models and a Vision Board — Charter-gated, auditable, and yours.
Join the community, deploy a lab, and run your first RAOARA loop the same day.
