Turn repeated work across browser tools, documents, inboxes, dashboards, or platforms into a reviewable agent your team can actually use.
Custom AI Agent Implementation
Turn one repeated business operation into a working AI agent.
I help founders, operators, agencies, and service businesses set up practical agents that understand their tools, documents, policies, messages, and human approval rules.
Request an implementation callFirst step: one meeting, one operation, one clear 3-week plan.
What I implement
Agents for real operating work.
Connect the agent to your policies, checklists, protocols, frequent messages, decision criteria, and examples of good work.
Create the instructions, examples, rules, and operating notes that make ChatGPT, Codex, Claude, or similar tools behave around your context.
After the first agent works, expand into monitoring, reporting, lead research, customer replies, platform checks, or multi-step operating routines.
How it works
From meeting to rollout.
We map how the work is done today, what tools are involved, what information matters, and which decisions should stay human.
You receive a clear 3-week plan for the first useful agent, including what documents, examples, and policies we need from your team.
I configure the agent around your business context so it can review information, organize findings, and prepare recommended actions.
Your team learns how to operate the agent like ChatGPT, with clear instructions for what to review, approve, and improve over time.
Implementation
A 3-week first version.
A typical first implementation takes 3 weeks. We start with one business operation, gather the documents and examples behind it, and configure the agent around the way your team already works.
The customer needs an active ChatGPT subscription or a comparable AI tool account. The implementation is a one-time setup, then your team operates the agent the same way it would use ChatGPT, with clearer instructions and business context.
While the agent is being implemented, it helps to collect policies, protocols, frequent messages, internal checklists, examples of good output, and the decisions that should always stay under human approval.
Proof
Recent working objects.
Booking / Airbnb agent demo
A commercial demo showing an agent operating Booking in real time and turning platform checks into reviewable actions.
Codex Native AppsA public pattern for local apps that send structured context into Codex Desktop.
Find Similar StartupsA market intelligence system for competitor discovery, launch analysis, and founder-readable research.
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