AI & AutomationWorkflows
I help businesses automate recurring tasks, connect tools, and use AI models for high-level assistance, process improvement and workflow execution.
Best for
Agencies, support teams, operations, SEO teams, founders
Timeline
1–4 weeks per workflow
Stack
Python · n8n · LLM APIs · AI agents · Webhooks · APIs · Google Sheets
Outcome
A reliable automation system that collects inputs, processes data, uses AI where it adds value, and routes the right output or action to the right place.
AI and workflow automation should solve real bottlenecks — not just add another shiny tool. I map your recurring tasks, identify where time is being lost, then design automations using Python pipelines, LLM APIs, webhooks, integrations and AI-assisted decision support. The goal is to help your business move faster while keeping the right human review points in place.
Automations can run from forms, schedules, webhooks, dashboards, sheets or app events.
LLM APIs and third-party providers can be integrated into your existing tools and workflows.
AI supports thinking, summarization, routing and analysis while humans keep control of final decisions.
Buyer
outcomes /
Less repetitive manual work
Recurring tasks can move from copy-paste effort into repeatable workflows triggered by schedules, forms, events or APIs.
AI where it actually helps
LLMs can summarize, classify, draft, enrich or reason over business context without replacing human approval.
Connected tools and cleaner handoffs
Your systems can pass data to each other so reports, notifications, records and next steps happen automatically.
What's
included /
Workflow automation design
Map recurring tasks, decision rules, handoff points, failure cases and the safest places to automate first.
Custom Python pipelines
Build scripts and data-processing pipelines for scraping, transformation, reporting, enrichment, cleanup or scheduled operations.
LLM API integration
Connect OpenAI or other language-model APIs into your forms, dashboards, internal tools, CRMs or existing systems.
AI model configuration
Configure, fine-tune or train AI-assisted workflows for business-specific context, high-level thinking support and repeatable output quality.
Pain-point automation
Use AI and automation to reduce bottlenecks in reporting, support summaries, lead triage, content briefs, SEO audits or internal admin tasks.
Documentation and guardrails
Clear runbooks, prompt logic, approval steps, error handling and recommendations for scaling the automation safely.
The
process /
Common
questions /
Do you only use no-code automation tools?
No. I can use automation tools when they fit, but I can also build custom Python pipelines and connect directly to APIs when the workflow needs more control.
Can AI work with our existing system?
Yes, when the system exposes an API, webhook, export or database path. I can connect LLM APIs into forms, dashboards, CRMs, spreadsheets or internal tools.
Will AI publish or act without review?
Not by default. I design guardrails so AI can draft, summarize or recommend while humans approve high-impact decisions.
Scoped after
discovery.
Every project starts with a short discovery pass so the build matches the real business goal, technical constraints and handoff needs.
Best fit when your team repeats the same manual tasks every week and needs AI, Python, APIs or automation to turn that process into a reliable system.