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AI Integration

AI Integration
Service OpenAI • Laravel • Queues

AI Integration

Practical AI inside your product — assistants, document parsing, search, and background agents wired to real APIs and permissions.

  • OpenAI
  • RAG
  • Agents
  • Laravel

AI is useful when it is grounded in your domain and safe to run in production. I integrate models as features — not demos — with queues, auth, and clear failure modes.

Problem

Many AI experiments stall because:

  • Prompts sit in the frontend with no audit trail
  • Models hallucinate over private business data
  • Costs spike without caching or rate limits
  • There is no human review path for sensitive actions

Solution

I ship integrations that fit your stack:

  • Assistants — context from your DB/docs with retrieval where needed
  • Extraction — structure invoices, tickets, and emails into records
  • Agents — background jobs that propose actions; humans approve when required
  • Ops — logging, cost controls, and feature flags

What you get

A production-ready AI slice of the product: authenticated, queued, measurable, and removable if the vendor or model changes.

Services Include:

  • Product-Aware Assistants & Chat
  • Document & Email Extraction
  • Background Agents with Guardrails

Explore more

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Ready when you are

Got a Dream Project? Let's Create It Together!

Share the goal, timeline, and stack — I reply within 24 hours. Prefer a call first? Book a short discovery session.

Add AI to a product Let's Talk

Let's Talk for Your Next Projects

You have different questions? Ask Yassine!

Reach Me
What types of companies do you work with?

B2B SaaS, e-commerce, and startups building custom web apps, MVPs, and internal tools.

How long does it take to build a custom application?

An MVP is typically 4 to 8 weeks. Larger products can take 3 to 6 months of continuous development.

Can you integrate with our existing tools?

Yes. CRMs, payment gateways, marketing platforms, and internal databases — via custom APIs.

Do you offer consultations or ongoing support?

Both. One-time reviews, and retainers for maintenance, performance, and new features.

What does onboarding look like?

A discovery call, then technical planning and scope — before the first line of code.