AI agents without structure produce noise
When every agent operates independently with no shared goals or planning cadence, founders spend more time re-explaining context than making decisions.
A coordinated AI operating team with human approval
Give every product a real operating team, not disconnected AI agents waiting for instructions.
Coordinate specialized AI roles around shared goals, visible evidence, and human approvals so founders and teams can make better decisions without managing every handoff.
90 days
structured planning cycle per agent
4 domains
growth, ops, product, finance
0 handoffs
founders review, not coordinate
Template includes
High-converting homepage sections
FAQ and structured data starter
Article and tutorial hubs
Auth, billing, AI, projects, exports
Product module pattern for cloned SaaS apps
product-modules/
[app-key]/
config.ts
schema.ts
prompt.ts
renderer.tsx
exports.ts
marketing/
proof
faq
articles
tutorials
seoOutput preview
Generated copy will appear here.
This panel is the reusable result renderer that each product module can customize.
Replace these with proof once you have it
First customer
Partner
Integration
Review
Case study
Pain to outcome
Name the pain, then show the profitable shortcut.
Coordination overhead cancels the productivity gain
Manually routing agent outputs, tracking which proposal belongs to which goal, and chasing follow-ups across tools defeats the purpose of AI delegation.
Founders need approval gates, not automation black boxes
Strategic decisions — pricing changes, market pivots, resource allocation — require founder sign-off. Agents that act without a review step create more risk than value.
Why buyers convert
90-day planning cycles
Structure agent work around a repeatable 90-day rhythm. Goals are set at the start, proposals are generated mid-cycle, and outcomes are logged at close.
Domain-specialized agents
Assign dedicated agents to growth, ops, product, and finance. Each agent operates within its domain and produces proposals scoped to its remit.
Structured goal-setting
Define measurable 90-day goals at the company and department level. Agents use these goals as the brief for every proposal they generate.
Signal inputs
Feed agents relevant signals — metrics, customer feedback, market data — so proposals are grounded in real context rather than generic best practices.
Agent-generated proposals
Agents produce structured strategic proposals with a rationale, recommended actions, and expected outcomes. Nothing executes until a founder approves.
Founder decision inbox
All proposals surface in a single inbox. Founders review, annotate, approve, or reject — with every decision logged for accountability.
Decision and outcome tracking
Every approved proposal creates a tracked decision. Outcomes are logged at cycle close so you can see what worked and refine the next cycle.
Human attention gates
No agent takes action on spending, publishing, or product changes without explicit founder approval. Autonomy is bounded, not unlimited.
SaaSForge build request integration
Product proposals that require development work can be sent directly to SaaSForge as a build request, closing the loop between strategy and execution.
DVGProOS portfolio status card
Each AgentCompany instance surfaces a status card in the DVGProOS portfolio dashboard so founders see agent activity across all their products at a glance.
How it works
A template funnel from first click to first value.
Every cloned SaaS should help visitors understand the promise quickly, try the core workflow, and find a paid next step without needing a custom growth strategy from scratch.
01
Connect an app and assign agents
Link AgentCompany to a DVGProOS app, then assign domain agents to growth, ops, product, and finance. Each agent receives the app context and its domain scope.
02
Define your 90-day goals
Write measurable goals for each domain. Agents use these as their brief. Goals should be specific, time-bounded, and tied to an outcome you can verify at cycle close.
03
Review proposals and log decisions
Agents generate structured proposals throughout the cycle. Review them in your inbox, approve or reject with annotations, and track outcomes when the cycle closes.
Social proof
Start with placeholders. Replace them with real trust as soon as possible.
"AgentCompany made the first useful result obvious."
Customer placeholder
Founder
"The focused workflow was easier than a generic AI chat."
Customer placeholder
Operator
"This is the type of tool our team would actually reuse."
Customer placeholder
Agency owner
Use cases
Built for small, specific SaaS bets.
- 90-day planning cycles
- Domain-specialized agents
- Structured goal-setting
- Signal inputs
- Agent-generated proposals
- Founder decision inbox
- Decision and outcome tracking
- Human attention gates
- SaaSForge build request integration
- DVGProOS portfolio status card
Decision
Old way
Starter way
Agent coordination
Route outputs manually across tools
Structured proposal cycle with a shared goal brief per domain agent
Strategic decisions
Agents act on their own or require manual follow-up
Every proposal requires founder review before any action is taken
Portfolio visibility
No unified view of agent activity across products
DVGProOS status card surfaces agent cycles across the full portfolio
Articles
Article hub
Use this page type for keyword-targeted education, comparisons, checklists, and niche problem pages.
Tutorials
Product tutorial hub
Use this page type for onboarding, integration guides, product education, and customer success content.
Growth & Accelerator Hub
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Answer objections before the demo.
What is a 90-day planning cycle in AgentCompany?
A 90-day planning cycle is a structured period in which agents operate against a defined set of goals. At the start of a cycle, founders set measurable goals for each domain. Agents produce proposals throughout the cycle based on those goals and any signals you feed them. At cycle close, outcomes are logged and the next cycle begins with updated goals. This rhythm replaces ad-hoc AI prompting with a repeatable operating cadence.
How do agents coordinate without direct integration between them?
Agents in AgentCompany do not communicate with each other directly. Instead, they coordinate through shared structure: each agent receives the same company-level goals and the signals relevant to its domain. A founder's decision on one agent's proposal becomes visible context for the next review cycle. This keeps agents specialized without creating unpredictable agent-to-agent dependencies.
How do founders review and approve agent proposals?
All agent proposals surface in a single decision inbox. Each proposal includes the agent's rationale, recommended actions, expected outcomes, and the goal it maps to. Founders can approve the proposal in full, approve specific actions and reject others, or reject the proposal and leave an annotation explaining why. Every decision is logged with a timestamp and stored in the proposal audit trail.
How does AgentCompany integrate with other DVGProOS apps?
AgentCompany connects to any app in your DVGProOS portfolio. Once connected, you can assign domain agents to that app, set goals at the app level, and track cycle outcomes per product. Product proposals that require development work can be forwarded to SaaSForge as a build request. A status card for each AgentCompany instance appears in the DVGProOS portfolio dashboard so you can see agent activity across all your products without switching contexts.
How is AgentCompany different from a project manager or task tracker?
A project manager tracks tasks assigned by a human. AgentCompany assigns strategic work to AI agents, and agents produce proposals that a founder approves before anything is tracked. The output is a decision log and outcome record, not a task list. The goal is to shift the founder's role from coordinator to decision-maker — you set the direction, agents produce the options, you choose.
What happens when a founder rejects a proposal?
A rejected proposal is logged in the audit trail with the founder's annotation. The agent can be prompted to produce a revised proposal in the same cycle, or the rejection can stand as a recorded decision that informs the next cycle's goal-setting. Rejected proposals are never automatically re-submitted or escalated — all re-engagement is founder-initiated.
Final CTA