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AI Agent Development Services — Custom Agents, Shipped to Production

Custom AI agent development services for startups and SMBs: single agents and multi-agent systems built in LangGraph and shipped to production, not demoed in a notebook. One architect owns the whole build — scope, architecture, tools, evals, and handoff — so nothing gets lost between contractors.

  • Architected a Fortune 500 AI contact center (40% CSAT lift)
  • LangChain & LangGraph specialist
  • Based in Pakistan · working globally
Custom AI agentsLangGraphMulti-agent systemsHITL + evals
AI Agent Development — ai agent development services

Who this is for

  • You've wired up ChatGPT or a LangChain quick-start and it hallucinates or loops on edge cases in production.
  • Your ops or support team is drowning in repetitive work that a well-scoped AI agent could handle in seconds.
  • You need a custom AI agent live in weeks with real observability, not a 6-month R&D project with no end date.

What you get

  • ✓A scoped LangGraph state machine with a checkpointer so the agent can resume after crashes or hand off to a human.
  • ✓Tool-calling wired to your real systems (CRM, ticketing, database, internal APIs) — not Zapier band-aids.
  • ✓Observability out of the box: LangSmith or OpenTelemetry tracing, token-cost dashboards, and alert thresholds.
  • ✓An eval harness with golden tests so regressions are caught before your customers find them.
  • ✓A human-in-the-loop approval layer on anything high-risk (refunds, outgoing emails, database writes).
  • ✓Full source code in your GitHub org, architecture docs, and a runbook.
  • ✓30 days of post-launch bug-fix support included.

How I build AI agents

  1. Week 0

    Scope lock (free)

    Deep-dive on your workflow, constraints, and success metric. I write a one-page scope with explicit non-goals. You sign off before any billing starts.

  2. Week 1

    Architecture

    Framework choice (LangGraph vs CrewAI vs custom), state schema, tool list, eval strategy, cost projection. You approve before a line of code is written.

  3. Build weeks

    Build sprints

    Weekly demo of a working slice. You see tool calls, traces, and eval scores every Friday — not a black box.

  4. Final week

    Handoff + 30 days support

    Docs, training, deploy runbook. Then I'm on call for bug fixes and tuning for a full month after launch.

What I build with

LangGraphLangChainCrewAIClaudeOpenAIMCPLangSmithpgvectorPineconeFastAPISupabase

My default stack is LangGraph for anything stateful, Claude for reasoning-heavy agents, OpenAI for high-throughput tool-calling, and LangSmith for tracing from day one. I always ship an eval harness before I ship the agent — un-evaluated agents are how you find out about regressions from your customers instead of your CI.

Agents I've shipped

How pricing works

This offerVibe-Built MVP or AI Product Sprint
Starting at$15,000
Typical timeline3–6 weeks
Tier range$15,000 – $60,000

What drives the price up

  • Whether you need a validated MVP or a production system
  • Number of agents and how they coordinate (single agent vs supervisor + workers)
  • How many external tools and systems the agent talks to
  • Whether human-in-the-loop, compliance, or audit logging is required

AI agent development runs through one of my fixed-price offers: a Vibe-Built MVP ($15–30K, 3 weeks) to prove an agent with real users, or an AI Product Sprint ($30–60K, 4–6 weeks) for a production system with HITL, evals, and multi-agent orchestration. Fixed price after the free scope lock — no hourly surprises.

✦FAQs

Common questions
about this offer

Real questions from real scoping calls. If yours isn't here, book a 30-min call and we'll figure it out together.

What's the difference between an AI workflow and an AI agent?

−
A workflow follows a fixed path — step A, then step B, then step C. An agent decides what to do next based on what it just observed. Agents are powerful when the path isn't known up front (messy customer queries, open-ended research tasks); workflows are cheaper and more predictable when it is. I usually recommend a workflow unless the work genuinely needs dynamic decision-making.

Single-agent vs multi-agent — when should I pick which?

+
Default to a single agent. Multi-agent systems are useful when you have clearly separable specialties (a researcher, a writer, a critic) or latency benefits from parallelism, but they introduce coordination bugs and extra tokens. I only recommend multi-agent when the supervisor-worker decomposition is obvious.

How do you handle hallucinations in production?

+
Three layers: structured tool outputs over free-text where possible, an eval harness that scores every change against a fixed test set, and human-in-the-loop checkpoints on high-risk actions.

How is this different from the AI Product Sprint?

+
This page covers the agent itself — what I build and how. The Sprint is the engagement format for a full production build; the Vibe-Built MVP is the faster format for proving an agent with real users first. Same architect, same standards.

How long does it take to build an AI agent?

+
A validated MVP ships in about 3 weeks. A production system with human-in-the-loop, an eval harness, and multi-agent orchestration takes 4–6 weeks. Either way, the free scope lock comes first, so you know the timeline before any billing starts.
✦Pricing & Plans

Four Offer Tiers.
One Architect.

Below: three of the four. The fourth — Production Audit + Rescue ($3.5K → $25–80K) — is the entry-tier banner above. Pick what matches your situation: validating, building, fixing, or scaling.

$3.5K
Your AI agent shipped and now it isn't behaving?Production Audit + Rescue. 2-week audit, 25-page report, cost breakdown, eval-coverage gaps, top-5 prioritized fix list. $3,500 credits toward a rescue if you go ahead. The Gartner-40%-of-agents-canceled-by-2027 lane.
Book a Production Audit→

Vibe-Built MVP

$15–30Kfixed

Ship your AI product in 3 weeks.

For solo founders with an AI idea and no team. Working MVP with real auth, real database, real users — hosted, payment-ready, repo in your GitHub. Not a Streamlit demo. Differentiated by 8 years of design + product chops; my MVPs ship polished, not ugly.

  • ✓Working AI product, real auth + DB
  • ✓Full front-end (Next.js / React) + back-end
  • ✓LLM integration with eval scaffolding
  • ✓Stripe payment if you are validating pricing
  • ✓Posthog or GA4 analytics baked in
  • ✓Hosted demo URL for design partners
  • ✓Source code in your GitHub org from day one
  • ✓30 days of bug-fix support
Start a Vibe-Built MVP

Agentic Product Retainer

$15–30K/mo90-day exit

Fractional CPO + Architect, embedded.

Senior product leadership for your AI line, without the FTE risk. 2–4 days/week embedded. Replaces a $1.2M/yr Principal PM + Staff Engineer + Lead Designer triad. 14-month average duration; most engagements convert from a Sprint or a Rescue.

  • ✓2–4 days/week embedded
  • ✓Architecture decisions + code review on agents
  • ✓Hands-on builds with Ayraxs bench as needed
  • ✓Weekly written status + monthly reliability report
  • ✓Eval harness ownership + expansion
  • ✓Model-deprecation handling (worth the fee alone)
  • ✓Direct Slack access to me
  • ✓3-month minimum, 90-day exit thereafter
Scope a Retainer

All engagements are fixed-price after a 20-min scoping call · Milestone-based payment · 90-day exits · Pakistan-based, working globally · Local-market pilot tier available — DM for terms.

Ready to start?

30-minute call, no pitch deck. We'll figure out whether this is the right fit — and if it isn't, I'll point you to someone it is.

Book a scoping call

Or email tayyabjaved0786@gmail.com

Pakistan-based · working globally · 4 offer tiers · Fortune 500 outcomes at 40–60% of US agency cost · Local-market pilot tier available — DM for terms