The AI agent that runs your organization.

Persistent memory. Multi-platform reach. Model-agnostic by design. Subagent delegation. Human approvals. Headmaster works unattended — and waits for your sign-off before anything important leaves the workspace.

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Headmaster dashboard showing active runs, approvals, memory updates, automations, and system status.
Natural language to approved work.

Ask once. Headmaster plans, delegates, and returns a review-ready output.

Start with a request, attach context, and let Headmaster turn it into a plan, workflow, draft, or approval-ready output. Chat is the front door — the product is what happens behind it.

Type a request in natural language. Headmaster loads the right memory, picks the right tools, delegates to specialist agents, and prepares a draft for your review.

Sensitive actions pause for approval. Nothing leaves the workspace until a human confirms it.

Headmaster chat view generating a product launch plan from workspace context.

What Headmaster Is Built On

Headmaster is a persistent AI workforce layer for organizations: a private command layer that remembers, learns, schedules, connects, delegates, and waits for review where it matters.

100%
context retained across sessions

Memory

Headmaster keeps a persistent record of workspace context, approved formats, decisions, documents, and user preferences. Memory can be backed by pluggable providers, so teams can use managed storage or bring their own retrieval layer. Agents start new work with the right context already loaded instead of asking teams to re-brief every run.

Skills

Repeated workflows become reusable procedures with named steps, preferred tools, and approval rules. Headmaster stores the way a team wants recurring work handled and applies that procedure consistently — the same format, the same review checkpoint, every time. The result is reliability across reports, summaries, updates, and operational checklists.

Automations

Scheduled triggers can start daily reports, weekly summaries, reminders, audits, and recurring admin work without a new prompt. Runs can be triggered by time, workspace events, or operator commands. High-stakes outputs still stop at the approval queue before anything leaves the workspace.

Tools

Headmaster connects to files, browsers, APIs, databases, documents, internal systems, and third-party platforms through permissioned tool access. Each workflow receives only the tools it needs, and every call is recorded for review. Teams get broad operational reach without handing agents unrestricted access.

Channels

Reach Headmaster from the dashboard, email, chat apps, terminal, or API while the underlying work stays continuous. A request can start in one channel, continue in another, and still use the same memory, permissions, and approval policy. Channels are entry points into one persistent workspace rather than separate bots.

Delegation

Complex requests split into specialist agent profiles for research, writing, analysis, operations, or code. Each subagent can receive its own tools, model route, and context window, then report back to a parent agent. Headmaster assembles the work into one review-ready output instead of returning disconnected fragments.

Approvals

Sensitive actions pause for human review before emails, edits, reports, data writes, or external actions are released. Approvers can approve, reject, edit, or route work for a second review from a centralized queue. The decision and operator edits are logged with the run so teams can reconstruct exactly what happened.

How Headmaster works

Four steps from a plain-language request to a reviewed, approved output. Context loads automatically. Nothing ships until you confirm it.

You give the mission

Describe the goal in plain language. Headmaster automatically loads relevant memory, approved files, past decisions, and prior formats from your workspace — no re-briefing required.

Chat screen where a user asks Headmaster to prepare a workspace-aware plan.

Headmaster plans and delegates

Headmaster identifies the needed steps, selects tools and channels, and assigns specialist agents to parts of the work before execution begins.

Guided workflow run showing context, tools, output preview, and an approval checkpoint.

Subagents execute in parallel

Research, writing, analysis, code, and operations agents can run in parallel with the right model and toolset, then report back to the parent agent for assembly.

Agents page showing specialist profiles with models, memory, skills, and tools.

You review and approve

The finished draft appears with a clear approval checkpoint. Reviewers can approve, edit, reject, or request another pass before anything leaves the workspace.

Approvals queue showing outputs awaiting human review.

What gets done

Outputs that arrive reviewed, formatted, and ready.

Not a chat log. Not a rough draft. A finished deliverable — with the context baked in, the flags surfaced, and an approval checkpoint before it goes anywhere.

Report
12 min

Q3 Client Operations Summary

6 accounts covered · KPIs compiled · Action items extracted

Approved
Ready for review
Analysis
8 min

Campaign Performance vs Benchmark

3 campaigns analyzed · Variance flagged · Next steps recommended

Pending review
Ready for review
Communication
6 min

Stakeholder Update — Board Pack

Executive summary · Risk register · Financial highlights prepared

Approved
Ready for review
Compliance
4 min

GDPR Data Review — Client X

14 data points checked · 2 flags separated for legal review

Held for approval
Ready for review

Every output includes source attribution, memory references, and an approval gate. Nothing leaves the workspace without explicit sign-off.

See how approvals work

Five decisions that change how work gets done

Memory that persists. Platforms that unify. Models that route. Agents that delegate. Approvals that hold.

Persistent Memory

When a workflow resumes after days or weeks, Headmaster can reload prior decisions, approved formats, workspace files, and user preferences before drafting the next output.

100%
Context retained

14 Messaging Platforms

Slack, Teams, Discord, WhatsApp, Telegram, email, and other channels become entry points into the same persistent workspace instead of separate disconnected bots.

14+
Platforms supported

300+ Model Support

Work can route across cloud models, coding models, local models, enterprise endpoints, custom endpoints, or TayX depending on the workflow and deployment policy.

300+
Models integrated

Subagent Delegation

Complex requests split into specialist profiles for research, writing, analysis, operations, or code, each with the model, tools, and memory needed for its part of the job.

∞
Scalable workflows

Human-in-the-Loop

Approval queues show pending, approved, rejected, and edited outputs, with the responsible reviewer recorded before sensitive work leaves the workspace.

100%
High-stakes actions approved before sending
Meets your team where they already work

14 platforms. 10 named model providers plus 300+ via OpenRouter. One workspace.

Headmaster connects across communication channels, documents, calendars, browsers, tools, connectors, and model providers so workflows can reach the places your team already works.

Channels — meet Headmaster where teams communicate
Tools — documents, calendars, browsers, and work systems
Models — route work to the right provider
Explore deeper integrations on the Headmaster page
One agent. Every workflow.

Use Cases Across Organizations

Headmaster adapts to the workflows of different organizations without changing the core system. One persistent layer, many verticals.

Schools & Education

Saves 15–20 hrs/week per teacher

Estimated from automating progress reports, parent updates, and scheduling in beta.

Teachers and administrators lose hours turning scattered notes, attendance data, and class context into parent-ready updates. Headmaster assembles the recurring reports, drafts the communications, and keeps staff in the approval loop before anything reaches families.

Explore workflows

Small Businesses

Saves 20–30 hrs/week per team

Estimated from automating client updates, checklists, and reporting in beta.

Operators juggling clients, inboxes, proposals, and weekly reporting can hand the repeatable admin layer to Headmaster. The system drafts client updates, prepares checklists, and turns document context into review-ready work without adding headcount.

Explore workflows

Agencies & Creative

Saves 25–35 hrs/week per team

Estimated from automating research, drafts, and client reports in beta.

Agency teams need research, campaign briefs, content drafts, and client reports to move faster without losing brand consistency. Headmaster coordinates the background work, drafts the first pass, and routes outputs for human review before clients see them.

Explore workflows

Technical Teams

Saves 10–15 hrs/week per team

Estimated from automating release notes, documentation, and repo summaries in beta.

Engineering teams spend valuable build time summarizing repositories, preparing release notes, writing docs, and documenting investigations. Headmaster handles the repeatable development operations layer so engineers can stay focused on shipping.

Explore workflows

Real Estate & Services

Saves 15–25 hrs/week per agent

Estimated from automating follow-ups, listing copy, and document summaries in beta.

Agents and service teams move quickly, but leads, listing copy, client updates, and document summaries create constant drag. Headmaster keeps follow-ups and operational drafts moving while people stay responsible for approvals and client judgment.

Explore workflows

Clinics & Professional Services

Saves 12–18 hrs/week per provider

Estimated from automating intake summaries, appointment prep, and internal notes in beta.

Providers and practice teams need intake summaries, appointment prep, follow-up drafts, and internal notes without weakening review around sensitive information. Headmaster prepares the administrative work and stops patient-adjacent outputs for staff sign-off.

Explore workflows
Trust & Control

Your approval before anything important ships

Headmaster is designed to work through permissions, review steps, and approved tools so organizations stay in control.

Human Review

Important actions pause before release and appear in an approval queue for authorized reviewers. Approvers can approve, reject, edit, or send work to a second reviewer depending on the workflow policy. Timeouts and escalation rules can route blocked work to the right owner instead of letting it disappear.

Permissioned Tools

Agents only receive access to the tools, files, APIs, and channels required for their assigned work. Permissions can be scoped by workflow, agent profile, and role so a reporting agent does not inherit broad administrative access. Tool use is recorded with the run so reviewers can see exactly what was touched.

Separate Workspaces

Each organization keeps isolated memory, credentials, tools, and configuration. Workspace context does not cross into another customer or team environment. This separation makes pilots safer because teams can start with a bounded workspace before expanding access.

Action Logs

Every prompt, tool call, model route, cost event, approval decision, operator edit, and final output is captured in a structured log. Logs give operators a practical record for incident review, cost review, and compliance evidence. Teams can trace a result back to the workflow that produced it instead of relying on chat history.

Configurable Risk Levels

Low-risk internal drafts run automatically. Sensitive workflows stop at the approval queue before release. Risk thresholds are configured per workflow, tool, channel, or agent profile — so routine work is unblocked while external messages, data writes, and regulated actions stay gated. Changes to risk policy are logged with the workspace configuration.

Permission policy

Workspace roles

Live
Viewer
No tool access
Read runs and audit history
Operator
Scoped tools
Launch approved workflows
Approver
Approval queue
Release gated outputs
Administrator
Workspace settings
Configure policy
External emails, data writes, and client-facing exports require an approver before release.
Control Stays With People

Headmaster drafts. You decide.

Headmaster can draft reports, emails, updates, and actions, but sensitive work can pause for review. Approve, reject, edit, or request changes before anything important leaves the workspace.

Approve

Confirm and release when the draft looks right. Headmaster releases to its destination — channel, file, or API.

Reject

The workflow returns to draft state. The agent logs the reason and awaits revised instructions.

Edit

Modify inline before release. Changes are recorded as operator edits in the audit log.

Review

Routes to a second approver before release. No output leaves with a single point of failure.

Approvals queue showing product launch documents awaiting human review.
Built around how your org actually works

Configured Deployments

Every deployment can include custom workflows, private memory, approved tools, branded interfaces, role permissions, and human review rules.

Private Workspace
Each organization runs with separate memory, credentials, approved tools, workflow configuration, and audit history. No workspace context is shared across customers or teams, which keeps pilots bounded and production deployments easier to govern.
Custom Workflows
Repeated work becomes reusable agent skills, scheduled automations, and operator-triggered workflows. Runs can start from time-based schedules, workspace events, slash commands, or dashboard buttons, then pause at review gates when policy requires it.
Role-Based Access
Viewer, operator, approver, and administrator roles keep responsibilities separated. Teams can scope who can launch runs, connect tools, approve external actions, change policies, or inspect audit logs.
Human Approval
Emails, reports, data edits, exports, and external actions can stop in a central approval queue before release. Approvers can approve, reject, edit, or request a second review, and each decision is written back to the run log.
Connected Tools
Integrate documents, inboxes, calendars, databases, CRMs, browsers, storage systems, and internal APIs through permissioned connectors. Each workflow receives the tools it needs rather than unrestricted workspace access.
Branded Interface
Custom workspace name, domain, and color theme can be configured per deployment. Client-facing interfaces use the organization's own branding rather than GCAP defaults.
Private Deployment
Your Operations Workspace
ActiveIsolated
Inputs
14 workflowsBrand voice memoryClient formatsGoogle WorkspaceCRMCalendar
Workspace processing
3 automations activeTeam rolesScoped tools
Gated outputs
External emails ↝ ApproverData edits ↝ ApproverClient exports ↝ Approver
Approved tools enabled • 3 scheduled automations active • Full audit trail retained
Route work to the right model, automatically

Headmaster is model-agnostic. TayX is GCAP’s trained and fine-tuned model layer.

Headmaster can route work across cloud models, coding models, local models, enterprise endpoints, custom endpoints, and GCAP’s own TayX model layer.

Cloud models

For scale and speed when the work does not need to stay on-premise.

Local models

For privacy-first deployments where data should not leave your infrastructure.

Coding models

For development workflows that need structured reasoning and code understanding.

Custom endpoints

For enterprise agreements or proprietary model stacks already in use.

TayX is GCAP’s own tuned model layer — optimized for long-running workflows, tool use, and multi-step reasoning. Coming soon.

Model stack page showing TayX, cloud models, coding models, local models, and enterprise endpoints.

Release velocity with controls

Headmaster ships fast — but speed without control is chaos. Every deployment runs on your infrastructure, through your model choices, with approvals and audit logs built in.

14
Communication platforms supported
300+
AI models through built-in routing
6
Execution backends for any infra

Headmaster runs on your terms: 14 platforms, 300+ model routes, and six execution environments — from a local laptop to serverless cloud. Workflows expand while approvals and audit logs stay consistent.

SOC 2 Type II
Audit-ready
AES-256
Encrypted at rest
GDPR
Compliant
Audit Trail
Every action logged

Ready to put Headmaster to work?

Start with one workflow, connect the right tools, and let your AI workforce learn from real operations.

e.g. weekly client reports, release summaries, operations checklists