AI & Automation

AI agents that do your boring work.

I design and build AI agents and no-code automations that turn repetitive business workflows into always-on systems — using n8n, LangChain, GPT-4, and Claude.

Book a strategy call See use cases
No-code & custom
Production-ready in 2-6 weeks
Your data stays private
Team training included
What I build

Six ways I automate businesses with AI

From no-code agent workflows to full custom AI applications — matched to your team's technical comfort and budget.

01

No-Code AI Workflows

Visual automations that connect your tools with AI decision points. Ship in days, not months. Perfect for teams that want to iterate quickly.

n8nMakeZapier
02

Custom AI Chatbots & Agents

RAG-based chatbots trained on YOUR data. Answers from your docs, handles support, qualifies leads — on your website, WhatsApp, or Slack.

LangChainPineconeGPT-4Claude
03

Business Process Automation

End-to-end workflows that eliminate repetitive tasks: invoice processing, data entry, report generation, CRM enrichment, lead routing.

n8nAirtableHubSpot
04

Content Generation Systems

Automated pipelines that draft blog posts, social content, product descriptions, or reports on-brand — with human review built in.

GPT-4ClaudeWordPress
05

Voice AI & Phone Agents

24/7 AI phone agents that qualify leads, book appointments, and answer FAQs. Sound natural, integrate with your CRM, hand off to humans smartly.

VapiRetellTwilio
06

Custom AI Integrations

When off-the-shelf tools can't do it — I build custom AI features into your existing app or product using OpenAI, Claude, or open-source LLMs.

OpenAI APIAnthropicLaravelNext.js
Live Use Cases

Real workflows I've built (or can build for you)

Every automation below is battle-tested in real businesses. Yours could be next.

Sales

Lead qualification agent

Every new lead gets enriched with company data, scored by fit, and routed to the right salesperson — or answered by an AI SDR if not qualified. Zero manual triage.

New lead->Enrich (Clearbit)->Score (GPT-4)->Route to CRM->Slack alert
Support

Ticket triage & auto-reply

Incoming tickets are classified, prioritized, and answered by AI when possible. Complex ones get routed to the right specialist with context pre-summarized.

Ticket in->Classify->Search KB (RAG)->Draft reply->Human approve
Marketing

Content research assistant

Give it a topic. It scans competitor content, extracts trending angles, drafts an outline in your brand voice, and hands off to a writer. 40 hrs/week saved.

Topic->Scrape SERP->Analyze->Draft outline->Notion doc
Ops

Invoice & document processing

Upload PDFs, get structured data. Vendor invoices, receipts, contracts — extracted, categorized, and pushed to your accounting tool with no manual entry.

PDF upload->OCR + LLM->Extract fields->Push to QuickBooks
Sales

Outbound personalization at scale

Instead of generic mass emails, each prospect gets a personalized message based on their LinkedIn, company, and recent activity — automatically.

Prospect list->Research each->Draft email->Send via Instantly
HR

Resume screening assistant

Screen 500 resumes down to top 20 candidates in minutes. Objective scoring against your role rubric, no bias, with reasoning for each decision.

Resume in->Parse->Match to rubric->Score + reasoning
Stack

The AI tools I work with daily

Full stack across foundation models, no-code platforms, agent frameworks, and vector databases.

Foundation Models

OpenAI GPT-4oClaude Sonnet 4Gemini 2.0Llama 3DeepSeekWhisper

No-Code & Automation

n8nMake (Integromat)ZapierAirtableRetool

Agent Frameworks

LangChainLlamaIndexCrewAIAutoGenInstructor

Vector Databases

PineconeWeaviateQdrantChromaSupabase pgvector
How I work

From idea to production in 5 steps

A repeatable process that ships working automations fast — without cutting corners on quality or security.

01

Discovery call

30 min to understand your workflow, tools, and goals

02

Workflow audit

Map current process, identify what to automate

03

Prototype

Working POC in 1-2 weeks with real data

04

Build & test

Production-ready system with error handling

05

Deploy & train

Your team learns to run and maintain it

40+
AI agents deployed
80%
Avg manual work reduced
24/7
Always-on systems
2-6w
Delivery timeline
FAQ

Common questions about AI automation

Do I need to be technical to use these agents?
No. The point of no-code AI is that your team can operate and modify workflows without writing code. I set up the initial system, train your team, and hand over documentation. For custom AI apps, no technical knowledge is required to use them — only to modify them.
Will my data be sent to OpenAI or Anthropic?
Only if you want it to. I can build solutions on private/self-hosted models (Llama, Mistral, DeepSeek) or use enterprise API tiers where your data is never used for training. Privacy and compliance are architectural decisions, not afterthoughts.
How much does an AI automation cost?
No-code workflows start around $1,500-$3,000. Custom RAG chatbots typically $3,000-$8,000. Full custom AI applications $8,000+. Every project starts with a free 30-min call to scope properly.
How long does a typical AI project take?
No-code workflows: 1-2 weeks. Custom chatbots with RAG: 2-4 weeks. Full custom AI apps: 4-12 weeks. Voice agents: 2-3 weeks. I quote timelines honestly and hit them.
What happens when the AI makes a mistake?
Every AI system I build includes error handling, human-in-the-loop checkpoints where accuracy matters, and monitoring/alerting so you know when something breaks. AI systems fail differently than traditional software — I design for that from day one.
Can I own and modify the automation after delivery?
Yes — full ownership. All workflows, code, prompts, and documentation are yours. I can also train your team so you're not dependent on me for changes. Optional retainer available for ongoing maintenance.

Ready to automate what shouldn't need humans?

Book a free 30-minute call. I'll help you spot the biggest automation opportunity in your business — even if we never work together.

Book a strategy call