Full Stack Agency needed one operating surface across the many places where work already happened. The answer was not to move every client into one chat. It was to give Atlas a central view while preserving workspace and department boundaries.
Evidence at publication: Agency OS, Caddy, the deployment webhook and OCW bridge were verified active on 30 May 2026. Two agents - Atlas and a licensing agent - were live with 54 bindings; the wider copy, data, strategy, operations, finance, PA and customer architecture remained prepared for further wiring.
The company
Louis Appert runs Full Stack Agency. Its operating surface crosses Discord, several internal and client Slack workspaces, strategy, copywriting, data, operations, finance, personal-assistant work, customer support and a separate dashboard repository.
That structure is normal for an agency serving real accounts: clients retain their own communication spaces, while internal decisions and product work happen elsewhere. The coordination burden appears between those surfaces.
The constraint
Client context lived in Slack workspaces. Agency strategy lived in other channels. Dashboard and product work lived in a repository with its own deployment cycle. Without a shared operating layer, Louis or another operator had to carry context between them and decide which specialist should act.
The architectural ambition was broader than the verified live runtime. Treating every planned specialist as live would obscure the useful truth: the core services and two agents were active, while much of the department and client-channel topology was configured for the next connection stage.
Why existing tools were not enough
Slack, Discord, GitHub, Kie.ai and Loom each handled part of the work. None created an agency-wide operating model or exposed system state in one place. A generic assistant in every workspace would duplicate context and make permissions harder to govern.
The missing layer needed a central agent, a hosted view, controlled workspace bindings and a deployment route that kept the interface aligned with the underlying system.
Transformation map
Before
Client Slack spaces | Discord | transcripts | creative tools | dashboard repo -> Louis reconciles context -> department acts
After - live core, broader provider-ready topology
Bound workspace request -> Atlas/live agent -> permitted context or tool -> Agency OS visibility -> human review -> workspace-specific output
Prepared specialist lanes can be activated without representing configuration as completed client work.
One workflow, end to end
This workflow describes the designed cross-workspace route and keeps the provider-ready boundary explicit.
- Input: A permitted request enters an internal or client Slack channel with a configured socket-mode account and binding.
- Workspace resolution: The channel mapping identifies the relevant client context and intended agent lane.
- Routing: Atlas handles central coordination or directs the request toward the prepared copy, data, strategy, operations, CFO, PA or customer responsibility.
- Context: The system can use installed gbrain knowledge or Loom transcript tooling where the required source is available.
- Production: The active agent prepares the analysis, operational artifact or creative request through its allowed tools.
- Control: A human reviews consequential client-facing work; a lane not yet wired stops at its provider or channel dependency.
- Visibility: Agency OS exposes the operating state, while GitHub push webhooks rebuild and restart the hosted dashboard when its code changes.
What changed
- Built: Atlas as the primary agency operator, a licensing agent, a hosted Agency OS and a broader department model for copywriting, data, strategy, operations, CFO, PA and customer support.
- Connected: Discord, the live dashboard, Caddy, the deploy webhook and OCW bridge were active; Slack socket-mode accounts were configured across internal and client workspaces.
- Tested: Dashboard deployment, webhook-triggered rebuild/restart behavior, core services, agent configuration and binding inventory were inspected.
- Verified: On 30 May 2026, Agency OS, Caddy, the webhook and bridge were active, with two live configured agents and 54 bindings.
- Actively used: The retained record does not quantify completed cross-client work or sustained departmental adoption. Live services are not promoted into unsupported output claims.
- Remaining dependencies: Broader channel-to-agent and specialist wiring must be activated and evidenced workspace by workspace; installed gbrain, Kie.ai and Loom tooling still requires workflow-specific proof.
- Financial result reported by client: None retained.
Proof
- Runtime receipt: Four named infrastructure services active on 30 May 2026.
- Agent receipt: Atlas and Louis AI/licensing configured live.
- Routing receipt: 54 bindings observed across the environment.
- Deployment receipt: GitHub push webhooks trigger Agency OS rebuilds and restarts.
- Claim boundary: The seven wider specialist roles describe the architecture; they are not all represented as live production departments.
Technology - revealed last
The stack runs OpenClaw 2026.5.7 on a Hostinger VPS with Discord, multiple Slack socket-mode workspaces, model/bridge routing, gbrain, Kie.ai, Loom transcript tooling, a hosted Next.js Agency OS, Caddy and GitHub webhook deployment. The dashboard is served on Full Stack Agency's domain, while channel bindings and provider tools are activated according to workspace and agent responsibility.
Client quote
No source-backed verbatim client quote is published for this case. The public record distinguishes the live core from the prepared specialist architecture rather than using an invented endorsement to blur that boundary.
Next transformation
See how Scaling Webinars verified eight active specialist agents inside one coordinated delivery environment. Full Stack Agency shows the preceding provider-ready stage for a more distributed workspace topology.
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Source record
OPENCLAW-DEEP-CLIENT-CASE-STUDIES.pdf, page 17.- Louis does not appear in
RECAST_CASE_STUDIES_2026_UPDATED.pdf; the deep case document is the retained case source. RECAST_WEBSITE_MASTER_BLUEPRINT.md, sections 10.4, 11 and 58.