Citizen Web3

AI Agents as a Service: Tailored Automation for Your Business

We don't build chatbots. We build entire autonomous AI workforces.

The Service

1

Discovery & Architecture

We audit and identify what to automate to design the system tailored to your business.

2

Agent Development

Custom agents with your domain knowledge, integrated with your tools via MCP, APIs, and RAG.

3

Deployment

Self-hosted or hybrid. On your infrastructure or ours with full monitoring from day one.

4

Management & Upgrades

Ongoing support, model migration, new roles, performance tuning. Or, run it yourself.

5

You Get Results

Measurable impact:

  • 80% less manual work
  • 24/7 autonomous coverage
  • Zero knowledge loss
  • Predictable scaling costs

How We Compare

Data Control
Our Agent FactoryFull ownership
DIY FrameworksYour responsibility
Cloud AssistantsTheir cloud
Coding AgentsCode local, prompts remote
Agent PlatformsProvider hosts
No-Code ToolsMixed
Time to Production
Our Agent FactoryDays to weeks
DIY FrameworksMonths
Cloud AssistantsInstant for chat
Coding AgentsHours for code tasks
Agent PlatformsDays to weeks
No-Code ToolsHours for basics
Total Cost
Our Agent FactoryPredictable
DIY FrameworksTeam cost high
Cloud Assistants$20–200/user/mo
Coding AgentsPer-seat or per-token
Agent PlatformsPer-agent pricing
No-Code ToolsCompounds
Customization
Our Agent FactoryUnlimited
DIY FrameworksUnlimited (DIY)
Cloud AssistantsMinimal
Coding AgentsDeep for code only
Agent PlatformsMedium
No-Code ToolsShallow
Maintenance
Our Agent FactoryWe handle it
DIY FrameworksAll on you
Cloud AssistantsNothing to maintain
Coding AgentsYou manage context
Agent PlatformsAgent logic is yours
No-Code ToolsComplex = pain
Integration
Our Agent FactoryDirect access
DIY FrameworksCode it all
Cloud AssistantsChat plugins only
Coding AgentsIDE and codebase
Agent PlatformsPlugin marketplace
No-Code ToolsSaaS connectors
Scalability
Our Agent FactoryNo vendor caps
DIY FrameworksIf engineered
Cloud AssistantsScales users, not agents
Coding AgentsOne dev = one agent
Agent PlatformsEasy but costly
No-Code ToolsLimited
Behavior Predictability
Our Agent FactoryDeterministic
DIY FrameworksDepends on engineering
Cloud AssistantsUnpredictable
Coding AgentsPredictable for code
Agent PlatformsNo guarantees
No-Code ToolsRule-based parts only

Building agents from scratch takes months. Cloud platforms own your data. Managed agent runtimes can't guarantee how your agents behave. No-code tools break on complexity.

We handle the hard parts so you ship working agents in weeks.

What Can Be Automated

Development

Code review, PR automation, bug fixes, refactoring, test generation, dependency updates, documentation

PR review: 2 hours → 15 min

SMM & Growth

Content plans, Telegram outreach, community engagement, cross-platform adaptation, analytics

10x content output, same team

SEO & Content

Keyword research, ranking analysis, RAG-powered generation, competitor monitoring, meta optimization

Content plans from real data

DevOps

Infrastructure monitoring, CI/CD, deployment, scaling, log analysis, anomaly alerts, auto-rollback

24/7 monitoring, no on-call

Customer Support

L1 tickets, FAQ, request routing, knowledge base, multilingual replies, L2 handoff summaries

80% tickets closed by agents

Research & Analytics

Data collection, market monitoring, competitor analysis, trend detection, executive summaries

Daily reports in minutes

Operations

Documentation, onboarding materials, process automation, meeting notes, compliance checks

Zero knowledge loss

Sales & Outreach

Lead scoring, personalized sequences, CRM enrichment, follow-up scheduling, pipeline forecasting

3x qualified leads per rep

Finance & Reporting

Invoice processing, expense categorization, budget alerts, cash flow forecasting, regulatory reports

Month-end close in hours

Before vs After

Without Agents

  • Team buried in repetitive ops
  • Hours lost to manual research & reporting
  • Disconnected tools held together with duct tape
  • Growth means hiring, onboarding, waiting
  • AI hallucinates - no one trusts the output
  • Tribal knowledge walks out the door with every quit

With Our Agent Factory

  • Agents run workflows 24/7
  • Structured insights delivered in minutes
  • Unified autonomous workforce across your stack
  • Growth means deploying an agent today
  • RAG-grounded agents use only your verified data
  • Persistent memory - zero knowledge loss, ever

Our AI Workforce

Our first client was ourselves.

Our AI Workforce is running in production: √√ççValidatorInfo.com is powered by self-hosted AI agents handling growth, development, outreach, monitoring, and more.

This is the architecture of our own, running and working, Agent Factory. We develop agents for any tasks that can be automated and architectures to meet any demands

Agent Factory

Orchestrator

Proactive

SEO RALPH

  • Content strategy from RAG data
  • Keyword research
  • Ranking analysis
delegates to

Reactive

SMM + TG Growth

  • Community engagement
  • Telegram outreach
  • RAG-grounded content

Proactive

Dev RALPH

  • Code analysis
  • PR review
  • Architecture decisions
delegates to

Reactive

Dev Agent

  • Bug fixing
  • Implementation
  • Testing

Proactive

DevOps RALPH

  • Infrastructure monitoring
  • Performance analysis
  • Incident detection
delegates to

Reactive

DevOps Agent

  • CI/CD pipelines
  • Deployment automation
  • Scaling

Shared Infrastructure

RAG

Agents grounded in verified data, zero hallucinations

Skills

Reusable prompts & workflows

MCP Tools

Connectors to databases, APIs, external systems

Memory

Persistent context, logging, audit trail

How Pricing Works

Pricing depends on four factors:

Agent Configuration

Number and type of agents set the base scope.

  • Each domain gets a RALPH (proactive) + Reactive agent pair
  • Agent Factory orchestrator coordinates multi-domain setups
  • More domains = broader automation coverage

Infrastructure

Where and how your agents run.

  • Self-hosted on your servers or managed by us
  • RAG pipeline, vector database, persistent memory
  • LLM API costs depend on provider and usage

Integration Complexity

How deeply agents connect to your existing systems.

  • MCP connectors to databases, APIs, and internal tools
  • Custom tool development for domain-specific workflows
  • Number of external systems and data sources

Ongoing Management

Optional — you can run everything yourself.

  • Model migrations and performance tuning
  • Monitoring, incident response, agent updates
  • New agent roles and capability expansion

Typical Deployment Scales

Single Department

1 agent pair, 1 domain — e.g. Development or SEO

Multi-Domain Team

3 agent pairs + orchestrator — e.g. Dev + SMM + DevOps

Full AI Workforce

6+ agent pairs, full domain coverage with shared infrastructure

Ⓕ May the Code be with You