trigger
Webhook
Receive data from external service
Connected
Autonomous Infrastructure
We configure your AI agent
to work exactly like you
Modular skills, custom CLAUDE.md and team training. Your AI agent knows your stack, your brand, and your rules from the very first prompt.
✓ Scope-based proposal✓ Multi-IDE options✓ Evaluation included✓ Documented handoff
What's Included
Six pillars of an AI agent that actually delivers
We transform generic tools into productive systems fully aligned with your business processes.
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Custom CLAUDE.md
Permanent instructions for your agent: your technical stack, brand voice, security rules, and code standards. The agent works as a team member from day one.
◈
3-5 Modular Skills
Specialized task instructions: on-page SEO, content generation, animations, deployment, security. Each skill activates automatically when relevant.
⬡
Multi-Agent Compatible
Configuration works in Claude Code, Cursor, Gemini Code Assist, and any instruction-supported IDE. No vendor lock-in.
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Security Hooks
Rules that prevent the agent from exposing credentials, modifying production without verification, or using unauthorized paid APIs. Security by design.
◇
Team Training
2-hour practical session with your team: how to interact with the agent, write effective prompts, and iterate on results. Includes documentation.
⬟
Evolution & Maintenance
Monthly skill review: what works, what to adjust, what new capabilities to add based on team needs and model evolution.
Delivery scopes
Choose a starting scope, then confirm the details
Starter
Starter scope
For teams starting with AI
- ✓Custom CLAUDE.md
- ✓3 modular skills
- ✓1 IDE configuration
- ✓1h Training session
- ✓Full documentation
Most Popular
Professional
Professional scope
For agencies and tech companies
- ✓Custom CLAUDE.md + advanced AGENTS.md
- ✓5 modular skills
- ✓Multi-IDE (Claude Code + Cursor)
- ✓2h Training session
- ✓CI/CD Integration
- ✓1 month support included
Enterprise
Custom scope
Full autonomous agent stack
- ✓CLAUDE.md + AGENTS.md + MCP servers
- ✓8+ modular skills
- ✓Multi-IDE + Night agent
- ✓OpenClaw/DeepSeek Integration
- ✓3h Training session
- ✓Automated task queue
- ✓3 months support included
Evidence principles
What a production-ready agent must make explicit
01
Defined task
Scope principle
“Name the work the agent may perform, the inputs it may use, the tools it may call, and the decisions that remain human.”
Authority is explicit
02
Measured evaluation
Evidence principle
“Evaluate representative tasks against a rubric, capture failure modes, and distinguish drafts produced from work approved and shipped.”
Claims follow evidence
03
Operational handoff
Governance principle
“Document ownership, secrets, logging, review paths, incident handling, updates, and the safe stop condition before production use.”
The team can operate it safely
Real-Time Visual Orchestration
Your agents integrate with n8n and workflows in a transparent ecosystem.
ActiveWorkflow Builder
3 Nodes
2 Connections
Drag nodes to reposition
The Karpathy Method applied to your business
A useful agent is configured with instructions, tools, permissions, examples, and evaluation criteria specific to the work it is allowed to perform.
Those instructions live in a file called CLAUDE.md and in a folder of modular skills. Each skill activates specific rules: SEO, content generation, deployment, security.
Productivity gains cannot be assumed from a general benchmark. The implementation should measure task completion, review effort, error rates, accepted output, and operating cost on representative work.
The result: an agent that follows your conventions, uses your stack, respects your brand, and meets your standards. Read more about our OpenClaw infrastructure →
FAQ
Frequently Asked Questions
What is a business AI agent?
It is an AI assistant (Claude Code, Cursor, Gemini) configured with permanent instructions reflecting your technical stack, brand tone, quality standards, and security rules. Instead of using generic AI, the agent works as a team member who already knows your business.
Do I need to know how to code to use an AI agent?
Depends on the package. We configure the CLAUDE.md and skills. Your team needs to know how to interact with the agent (writing clear instructions), which we teach in the training session. You don't need coding knowledge to give instructions like 'generate a blog post about X with our brand voice'.
Does it only work with Claude Code?
No. The configuration is compatible with Claude Code (Anthropic), Cursor AI, Gemini Code Assist (Google), and any IDE that supports instruction files (.claude/, .cursor/, GEMINI.md). No vendor lock-in.
What are "skills" exactly?
They are modular instruction files that tell the agent how to perform a specific task. Example: an "On-Page SEO" skill contains rules for optimizing titles, metas, headings, schemas, and internal linking according to your standard. When the agent detects the task is SEO-related, it automatically activates that skill.
How long does the setup take?
Timing depends on task complexity, tools, access, data policy, evaluation depth, review paths, documentation, and team availability. The proposal records milestones after the intake.
How is it kept updated?
Models and tools change quickly. An optional maintenance scope can define review cadence, evaluation, instruction changes, new skills, versioning, and rollback.
Request Your Setup
Share the context required for a scope-based proposal.
Key Takeaways — AI Agents for Business
- A well-configured AI agent replaces 2 to 4 hours of repetitive daily work per employee.
- CLAUDE.md and AGENTS.md provide the governance layer that turns generic AI into a productive team member.
- Modular skills allow for scaling agent capabilities without manual reconfiguration: SEO, deployment, content, security.
- Professional setup includes security hooks that prevent credential exposure and unauthorized modifications.
- Typical ROI is achieved in 4-6 weeks for development and marketing teams.
AI Agents · 2026 Context
What is a business AI agent and why you need a professional configuration
What is a business AI agent? An AI agent is an autonomous system based on Large Language Models (LLMs) that executes complex tasks continuously: generates code, writes content, automates workflows, analyzes data, and makes operational decisions following pre-defined rules.
Unlike a conventional chatbot, a professional agent operates with governance: it has a CLAUDE.md file defining its identity, technical stack, security constraints, and quality standards. It has skills that specialize its behavior based on the task. And it has hooks that prevent dangerous actions like exposing credentials or modifying production without verification.
“The difference between an AI that helps and an AI that transforms your company lies in 20 hours of professional setup. Without CLAUDE.md, you have a generic assistant. With it, you have a team member that scales.” — Technical Management, YAG
Real-world business use cases
- Marketing Agencies: SEO/GEO content generation, automatic technical audits, landing page optimization.
- Software Development: Autonomous code review, code migrations, technical documentation, automated testing.
- Professional Firms: Legal document analysis, data extraction, standardized report generation.
- E-commerce: Optimized product descriptions, 24/7 customer support, automated competitor analysis.
Technical stack we configure
We work with Claude Code, Cursor, Gemini Code Assist, and GitHub Copilot. The automation layer is built with n8n (open source, self-hosted) for multi-step workflows. Multi-agent orchestration is managed through governance files (CLAUDE.md, AGENTS.md) that are portable between providers.
AI Agents for businesses across the United States
We configure AI agents for businesses in New York, Los Angeles, Chicago, Houston, and internationally.
- ✦Global Autonomous Presence
- ✦Zero Latency Deployments
- ✦Multi-zone Asynchronous Training