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Advanced AI Agents

Building production autonomous agent systems: hierarchical teams of Claude agents, self-correcting loops driven by tests, persistent state, and sandboxed execution for business-critical workloads.

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1. Service Overview & Scope

  • Multi-Agent Teams: Hierarchical Claude agent teams that carry multi-day, multi-person workflows, with human checkpoints at the steps that matter.
  • Self-Correction Loops: Agents read compiler errors, test failures and lint output, fix the code, and run the checks again until they pass or reach a retry limit.
  • Sandboxed Tool Execution: Agent shell commands, code execution and database queries run inside Docker containers with restricted permissions and network access.
  • Spend and Loop Limits: Iteration caps, token budgets and kill switches on every loop.
  • Run Logging: Records of each agent's steps, tool calls, token use and failures for review and debugging.

2. Standard Architecture & Tools

  • Agent Frameworks: Claude Agent Teams, Claude Code subagents and background agents in separate git worktrees, and the Claude API with Python asyncio or Rust Tokio for custom orchestration.
  • Model Layer: Claude Opus or Fable (lead planner and synthesis), Claude Sonnet (code and tool use), and Claude Haiku (fast classification and search).
  • Execution Sandboxing: Docker containers with dropped capabilities (`CAP_DROP=ALL`), non-root execution and egress restrictions.
  • State & Persistence: Checkpoints in a SQL database or files, so long runs can resume after an interruption.

3. Deliverable Examples & 4-Week Schedule

  • Production Agent Codebase: Containerized multi-agent system in Python or Rust with an orchestrator, worker agents, custom tools and saved state.
  • Self-Correcting Execution Engine: Middleware with schema-checked tool calls, retry rules and escalation to a human when retries run out.
  • Agent Run Dashboard: Web dashboard showing message flow between agents, tool latency, token use and step-by-step traces.
  • Sandboxing & Security Configuration: Docker Compose files with dropped Linux capabilities and outbound network rules.
Timeline Focus & Architecture Core Deliverables & Artifacts Verification & Sign-off Criteria
Week 1 Claude Agent Team Architecture & Worktree Setup Hierarchical agent topology, Claude Opus lead planner design, Claude Sonnet and Haiku worker definitions, and git worktree isolation configuration Architecture sign-off on agent hierarchy, orchestrator-worker task decomposition, and human checkpoint gates
Week 2 Sandboxed Tool Execution & Persistent State Docker execution containers with dropped Linux capabilities (CAP_DROP=ALL), non-root execution, network egress restrictions, and SQL database state checkpointers Multi-step tool calls verified in disposable containers with strict network rules and interruption resume verified from saved state
Week 3 Test-Driven Self-Correction Loops & Execution Engine Schema-checked tool calling middleware, automated test, lint, and compiler error feedback loops, retry limiters, and human escalation rules Agents autonomously diagnose and fix compiler and test errors up to retry limit with verified fallback escalation to humans
Week 4 Spend Limits, Run Logging & Production Handover Web-based Agent Run Dashboard for message flows and token use, iteration caps and kill-switch circuit breakers, complete codebase transfer, and 30-day SLA onboarding Stress test completed with zero infinite loops, hard token budgets enforced, full IP transfer, and client sign-off

4. Guarantees & Commitments

  • Guaranteed Termination: Hard cycle limits, timeouts and fallback paths end every run.
  • Complete Commercial IP Ownership: Full code, copyright and documentation transfer at sign-off.
  • 30-Day Operational SLA & Support: Engineering channel for fixes, tuning and Claude model or API updates.
  • Data Containment: Disposable containers, with outbound traffic limited to approved destinations.

5. Investment & Pricing Quote

  • Modular Service Selection & Flexible Engagement: Clients can freely pick and choose their services, either individually or bundled under our comprehensive transformation programs:
    • Individual Service Pick (Personal / 1-on-1): $100 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Strictly 1 person only.
    • Individual Service Pick (Business / Teams): $200 USD per service for 5 days of live training + 5 days of dedicated support (10 days total coverage per service). Covers up to 20 participants (additional seats at $100 USD per seat).
    • Comprehensive Business Training: $2,000 USD for 60 days (30 days live training + 30 days guidance and detailed guides and materials). Includes cohorts up to 20 participants. Extra seats at $100 USD per seat).
    • Comprehensive Personal Training: $1,000 USD for 30 days (15 days live training + 15 days guidance and detailed guides and materials). Strictly for 1 person only (private acceleration).
  • Global Purchasing Power Parity (PPP) Available for All Service Pricing:
    • Tier 1 (Standard / 100%): Individual $100 USD | Business $200 USD | Business 60d $2,000 USD | Personal 30d $1,000 USD (USA, UK, EU, Canada, Australia)
    • Tier 2 (Developing Nations / 25% Off): Individual $75 USD | Business $150 USD | Business 60d $1,500 USD | Personal 30d $750 USD (India, Brazil, Mexico, UAE, Poland)
    • Tier 3 & 4 (Lower-Middle/Low-Income & Startups / 50% Off): Individual $50 USD | Business $100 USD | Business 60d $1,000 USD | Personal 30d $500 USD
    • Tier 5 (Academia & Non-Profits / 75% Off): Individual $25 USD | Business $50 USD | Business 60d $500 USD | Personal 30d $250 USD
    • Tier 6 (Crisis-Affected & Under-Resourced Regions): Individual $10 USD | Business $20 USD | Custom Subsidized Relief / Micro-Rates
    • Calculate and lock in your exact tier rate live on the Pricing page.
  • Payment Schedule:
    • Zero upfront advance; billed in 5 equal milestone installments due only after verified instruction and runtime delivery.

6. Summary

  • Claude Agent Teams: Production orchestrator-worker and hierarchical architectures.
  • Strict 1-Month Delivery: 4-week progression from architecture design to production handover.
  • Test-Driven Self-Correction: Test, lint and type-check feedback loops that work toward passing code.
  • Sandboxed Runtimes: Docker isolation with dropped capabilities and restricted network access.
  • Enterprise IP & Handover: Full IP transfer, runbooks and 30-day support.
Commission Advanced AI Agents → Book a free intro call on LinkedIn ↗