AI automation that pays for itself in weeks, not roadmap quarters.
We wire LLMs and autonomous agents into the workflows your team already runs, across support tickets, content, sales ops and reporting, so the repetitive parts disappear without a platform migration.
From a single chatbot to a fleet of agents.
RAG chatbots
Chatbots that answer from your own documents, website or database, with citations, not hallucinated guesses.
Multi-step n8n workflows
Orchestrated n8n automations that plan, call tools and hand off work across multiple steps for complex, end-to-end tasks.
n8n workflow automation
Visual, maintainable workflows connecting your CRM, inbox, spreadsheets and APIs. No fragile custom scripts.
Content & social automation
Blog drafts, LinkedIn posts and social content generated on a schedule, with a human approval step built in.
Data & reporting agents
Agents that query your SQL database or spreadsheets and return a plain-English summary, on demand or on schedule.
Fine-tuning & LLM engineering
Prompt engineering, RAG pipelines and fine-tuned models where an off-the-shelf prompt isn't accurate enough.
Tools we reach for.
Not a demo. These run in production.
RAG document Q&A
PDF and website content search with GROQ and Llama 3, returning sourced answers instead of a search results page.
Chat with your database
An SQL-connected AI agent that answers business questions directly against a live SQL database.
Blog & LinkedIn generation
Agentic content pipelines that draft on-brand posts from a topic or a URL, ready for a quick human edit.
Web-search chatbot
An agentic AI application that answers with live web search results, not a static knowledge cutoff.
News & content summarization
YouTube, article and news summarization pipelines that turn long-form content into a two-minute read.
Task & project assistants
In-app assistants (like our own EAD platform) that suggest and summarize tasks using RAG over your project data.
50+ agents, voice agents & automations we can build for you.
A sample of the specific builds we ship regularly. Pick one, combine a few, or tell us the workflow that's eating your week and we'll scope it.
AI Agents (Text-Based)
- AI Agent that delivers the best daily news on any topic
- Professional LinkedIn Post Generator
- AI Story Generator
- AI Agent that tracks your finances
- WhatsApp AI Agent with conversation memory (Supabase)
- Resume Analyzer · recruit 10x faster
- AI Invoice Processing System
- Monthly Invoice Summarizer
- Expense Tracking AI Agent
- Team of AI Agents (multi-agent system)
- Web Research Agent
- SEO Agent for keyword research & article creation
AI Voice Agents
- AI Voice Agent that books appointments automatically (Retell AI + n8n + Cal.com)
- AI Voice Agent for customer support & low-ticket sales (ElevenLabs)
- Receptionist AI Voice Agent (clinic/healthcare use case)
- Travel Planning Voice Agent
- Personal Assistant AI Agent that makes phone calls (VAPI)
- AI Voice Booking Agent (VAPI)
Workflow Automation (n8n Core)
- Telegram Chatbot
- Google Drive ↔ Airtable automation
- Google Drive ↔ Notion file sync
- AI-Powered Audio Transcriber
- AI Document Summarizer
- Automated Feedback Collection Form
- Gmail Email Manager & Classifier
- Inbox Manager · sort all emails in one click
- Fully Automated Client Onboarding System
RAG / Knowledge Retrieval Agents
- RAG Agent with Pinecone (Retrieval-Augmented Generation)
- Multichannel RAG Agent with Pinecone
- AI Agent with persistent memory (Supabase + PostgreSQL)
- WhatsApp Research & Planning Agent
Business Process / Sales & Support Automation
- WhatsApp AI Customer Support & Sales Agent
- Human-in-the-Loop AI Agent workflows
- Lead Generation via Apollo/Apify
- Apollo Lead Scraper with Airtable integration
- LinkedIn AI Agent for lead generation & prospecting
- Lead Gen Agent using Perplexity Sonar API & Google Maps
- MCP-based multi-tool AI Agent (WhatsApp: images, voice, tools)
How an automation engagement runs.
Audit
We map the workflow you want automated and flag where AI genuinely helps versus where it doesn't.
Pilot
A scoped pilot (one workflow, one measurable outcome) shipped in 1–3 weeks.
Deploy
The pilot goes into daily use, monitored for accuracy and edge cases before we scale it further.
Retainer
Ongoing monitoring, prompt tuning and new workflows added on a monthly retainer as needs grow.
Common questions
Which AI model do you use?
Whichever fits the job and your budget: GROQ-hosted Llama models, OpenAI, Google Gemini, or open-source models via HuggingFace. We're not locked into one vendor and will tell you honestly if a cheaper model performs just as well.
How do you handle our data?
Your documents and data stay in your own vector store or database wherever possible; we don't use client data to train shared models. Data-handling terms are set out in the engagement contract.
What if the AI gets something wrong?
Every workflow we ship includes a human-in-the-loop review step for anything customer-facing or irreversible, plus monitoring so we catch drift early.
Do we need our own AI infrastructure?
No, we typically start on managed APIs (GROQ, OpenAI, Gemini) so there's no infrastructure to run. If volume justifies it later, we can move you to self-hosted open-source models.