Custom AI Agents
I build the autonomous teammates your business actually needs. Not a chatbot. Not a demo. A production agent connected to your stack, with evals, observability, and a kill switch.
What you get
- Production MCP server or agent running in your environment
- Eval set of 20 to 50 real tasks with measured pass rate
- Cost and latency dashboard with per-tool breakdown
- Kill switch and dry-run mode for every destructive action
- Written runbook for operations and incident response
- Repository access from day one in your GitHub org
Transparent pricing
Every price is fixed and written before work starts. No hourly creep. Prices vary by region to match local engineering market rates fairly. Pick the region you operate from; if your country is not listed exactly, use the closest match or email me and I will quote in your currency.
One focused agent with up to 5 tools, deployed to one platform.
- 1 agent or assistant
- Up to 5 tool integrations
- Eval set of 20 tasks
- Runbook and handover
- 2 weeks post-launch support
Full MCP server with 10 to 15 tools, OAuth, error handling, observability.
- Production MCP server
- 10 to 15 tool integrations
- OAuth and secret management
- Cost and latency dashboard
- 4 weeks post-launch support
Coordinated multi-agent workflow with planner, executor, critic, and a custom UI.
- Multi-agent orchestration
- Custom React or Next.js UI
- Full eval harness with regression tests
- On-call rotation for first 8 weeks
- Source code and full IP transfer
Why I charge this
- You pay for senior engineering, not an agency markup. The same scope at a London or San Francisco agency lands between $15k and $50k.
- I have already shipped five production AI systems on my own time. You do not pay me to learn the basics.
- Every project includes an eval harness. That alone saves the cost of a QA engineer and gives you proof the agent works before go-live.
- Regional pricing is honest, not opportunistic. Indian clients get Indian rates. US clients get US rates. Nobody subsidises anybody.
Why work with me
- One accountable person from first call to handover. No project managers, no rotating offshore team, no language gap.
- Code lives in your GitHub from day one. Every commit is visible. You are never surprised by what was built.
- No proprietary lock-in. TypeScript, Python, Postgres, MCP. Your team can take over any time, with no consultant tax.
- Public track record on devpilotx.com, paisareality.com, value.codes, epicenterexchange.com. You can read the code that runs them.
- Direct email, no ticketing system. Same-day replies on weekdays. One Slack or Calendar invite per call if needed.
How an engagement runs
- Step 01
Discovery call
Free 30 minute call. I learn your workflow, your tools, and the decision the agent needs to make.
- Step 02
Written scope
Within 48 hours you get a one-page scope with milestones, fixed price, and a clear out clause.
- Step 03
Build and preview
I build against your real tools. You see commits and previews from day one.
- Step 04
Eval and sign-off
I run the eval set with you, we agree the pass bar, you sign off in writing.
- Step 05
Ship and support
Production deploy, runbook, and a 2 to 8 week post-launch support window.
Ideal for
- Founders and teams with a workflow that wastes 5+ hours a week and is ready to be automated
- Companies running on Notion, Airtable, Slack, or custom dashboards that need a thoughtful AI layer
- Teams that tried no-code agent builders and hit a wall on reliability or integration depth
Not the right fit if
- A chatbot for a marketing site. Use a no-code widget and save your money.
- Anyone who wants an agent to replace an entire role without human review. Agents are coworkers, not replacements.
- Projects where the AI is the marketing pitch but the actual need is a plain script or a cron job.
Common questions
Which LLMs do you use?
OpenAI GPT-4o and GPT-5, Anthropic Claude 3.5 and 4 Sonnet, and open models via Together or Groq when cost matters. I pick per task based on eval scores and price, not on hype.
Will the agent get expensive to run?
Every agent ships with a cost dashboard and per-call rate limits. A typical agent doing around 100 runs a day costs $20 to $80 a month in LLM spend.
What if the agent makes a mistake in production?
Every destructive action has a dry-run mode and a confirmation gate by default. There is a kill switch you can hit from a single command. Critical actions like sending email or modifying records are always logged.
Do you sign NDAs?
Yes, before the first call if needed. I keep a clean mutual NDA template that I can send in minutes.
Why do prices differ by region?
Because senior engineering rates differ by region. I would rather quote you a fair local price than charge London rates everywhere or Indian rates everywhere. The deliverable is identical; the price reflects your market, not mine.
Ready to scope this?
Free 30 minute call. By the end of it you have a written scope, a price, and a timeline. No pressure to proceed.