You will get Fix your React, Next.js, or TypeScript bug fast
Rising Talent
Project details
You will get a fast, scoped fix for your React, Next.js, or TypeScript issue. I focus on reproducing the problem quickly, fixing the root cause cleanly, and sending back working code with clear notes instead of vague debugging churn. Best fit for founders and small teams who need one blocked flow or a cluster of related bugs resolved without dragging the project out.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance OptimizationWhat's included
| Service Tiers |
Starter
$100
|
Standard
$225
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | |||
Source Code |
About Dylan
AI Agent Developer | Claude & OpenAI, MCP, RAG & Automation
Brooklyn, United States - 7:20 am local time
I specialize in agents specifically, and I work with the newest agent tooling every day: the Claude Agent SDK, the OpenAI and Vercel AI SDKs, and the Model Context Protocol (MCP) for connecting agents to your own systems.
What I can build for you:
- Custom AI agents that use tools, call your APIs, and complete tasks end to end
- MCP servers that securely connect an agent to your internal tools, databases, and SaaS (Slack, Notion, CRMs, custom APIs)
- Document and knowledge assistants (RAG) that answer questions over your contracts, docs, and data
- Workflow automation: intake and triage, research, data extraction, report and email drafting, internal copilots
- The production layer most freelancers skip: evals, guardrails, logging and monitoring, and error handling — so the agent is reliable, not a one-off demo
My stack:
- AI / Agents: Claude (Agent SDK), OpenAI, Vercel AI SDK, MCP, tool-use, RAG, evals and guardrails
- Backend: TypeScript/Node, Python, Express, REST APIs, PostgreSQL, MongoDB, Supabase
- Infra and ops: Docker, CI/CD (Vercel, Render), observability (Grafana/Loki, Sentry), Linux
An edge that helps on sensitive projects: before moving into engineering I worked in legal and risk/investigations (Paul, Weiss and Kroll), so I understand document-heavy, detail-critical, compliance-aware workflows — and I build agents that respect them.
How I work:
1. A short call to map the exact workflow you want to automate
2. A scoped plan with clear milestones — and an early working demo so you see progress fast
3. Build, test against real evals, deploy, and hand off with documentation your team can maintain
If you have a workflow you think an AI agent could handle — or you're not sure whether it can — message me a few sentences about it and I'll tell you honestly what's possible and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Dylan can start the project.
Delivery time starts when Dylan receives requirements from you.
Dylan works on your project following the steps below.
Revisions may occur after the delivery date.
Reproduce and diagnose
I review the code, reproduce the issue, and isolate the root cause so the fix stays scoped and fast.
Fix and validate
I implement the fix, test the affected flow, and send clear notes on what changed and anything still out of scope.