Autonomous Agents.
Deploy secure, multi-agent AI systems that automate complex operational logic.
What it is
WHAT THIS SERVICE DOES
AND HOW IT HELPS.
Unlike basic automations, autonomous agents are given goals and tools (web browser, email, vector database) to execute multi-step reasoning. We build custom agent architectures with vector memory (RAG) for factual accuracy, securing them on your VPS with clear operational guardrails.
Process
HOW I DELIVER IT.
Goal Mapping & Safety Limits
We define the agent's objective, list permitted APIs, and map out strict human authorization checkpoints.
Vector Memory Setup
We compile your internal files, FAQs, and data sheets into a vector database (Supabase/Pinecone) to enable hallucination-free retrieval.
Tool & API Provisioning
We equip the agent with tools: Google Search, email access, document parsers, and browser automation via Playwright.
Multi-Agent Scaffolding
We orchestrate specialist sub-agents (e.g., a research agent feeding a draft to a writing agent) to handle complex, multi-stage workflows.
Execution Logs & Admin UI
We deploy a custom admin portal, letting you monitor agent decisions in real-time, view traces, and approve critical actions.
Use Cases
REAL PROBLEMS I SOLVE.
Outbound lead research: Scraping sites, qualifying leads against ICP criteria, and drafting custom outreach emails.
AI customer support: Routing tickets, pulling data from databases, and drafting detailed answers for review.
Market intelligence monitoring: Scanning 50+ industry news sources daily and compiling action summaries.
Document classification: Processing PDFs, extracting metadata, and routing files based on logic.
Tech Stack
BUILT WITH THE RIGHT TOOLS.
01 //
Claude 3.5 / GPT-4o
LLM reasoning engine
02 //
LangChain / LangGraph
Agent orchestration
03 //
Python
Custom tool building
04 //
Pinecone / pgvector
Vector memory (RAG)
05 //
Playwright / Puppeteer
Browser automation
06 //
n8n
Trigger & workflow glue
FAQ
QUESTIONS ANSWERED.
01How do you prevent AI hallucinations?
We use RAG (Retrieval-Augmented Generation) so the LLM only answers using verified context. We also set low temperature parameters and restrict output schemas.
02Can the agent send emails directly to customers?
Only if permitted. We default to 'draft mode' or include human approval buttons in Slack/email before any message goes live.
03What LLMs do you use to power the agents?
We primarily use Anthropic's Claude 3.5 Sonnet for reasoning tasks and OpenAI's GPT-4o for speed-sensitive API tool calling.
04How do I stay in control?
Every agent system we build includes an admin dashboard, full execution logging, and manual override controls. You always have the final say.
Start Today
Ready to deploy your autonomous agent?
Book a process audit call. We will trace your highest-friction workflows and design a custom agent blueprint. Starting at $3,000.
Book a Discovery CallNext Service
Agency Scaling Partner