Abdul A.Let's Talk

Diagnose

AI App Review

Find out why your AI isn't working, and what to fix first

Find where AI will pay off in your business, what is blocking it, and exactly what to do next.

$500. One consultation. You leave with a next step.

  • Your highest-value AI opportunity, named and ranked
  • The gaps in data, prompts, retrieval, and security that block it
  • Straight advice on model choice, evals, and budget
  • A realistic 90-day plan with cost direction
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  • Top Rated Plus on Upwork
  • OpenAI and Anthropic certified
  • 7+ years building production AI
  • 4.7 from 56 reviews

Is this for you?

You're building an AI application, but you're not sure what it takes to make it production-ready. Maybe the prototype works, but questions about accuracy, security, running costs, or handling real users are keeping you from moving forward.

  • Your AI app is live, but answers are inconsistent
  • AI costs keep rising and nobody can explain why
  • Your team has stopped trusting the output
  • You haven't built anything yet and need the right first move

How I look at your AI

Five questions, in this order. Skipping one is how most AI projects stall.

  1. Purpose

    Which business outcome should AI be organized around?

  2. Roots

    Is your data and internal knowledge ready? What must be structured, connected, or permissioned first?

  3. Intelligence

    Which tasks should agents own, which need human approval, and which stay with your people?

  4. Safeguards

    How do you keep agents secure, auditable, and safe on live systems?

  5. Momentum

    How do you measure revenue, margin, and capacity, not just usage?

Questions this review answers

  • Where is AI most likely to drive revenue or free up capacity in our business?
  • Is our data and documentation ready for AI? What is missing?
  • Claude, GPT, or open-source and fine-tuned models: what fits our use case and budget?
  • How do we stop agents from hallucinating, leaking data, or taking unsafe actions?
  • How do we set up AI evals so quality doesn't drift?
  • What would a realistic first 90 days look like, and what should it cost?

What you bring

About 30 minutes of your time

  • Context on your product, workflow, or AI system (a link, a screen share, or a short brief)
  • 10 to 20 real questions or tasks your users or team run
  • Your main concern: accuracy, cost, speed, security, or "I don't know where to start"

What you leave with

Plain language, no jargon

  • A plain-language score across the five framework areas
  • Your priorities, ranked by impact
  • A concrete next step (fix, MVP, or full build) with scope and cost direction

Built and run in production

695,000+conversations handled
10M+answers served, 91% rated helpful
56%fewer support tickets

Across EdTech, financial services, real estate, and B2B SaaS.

Common questions

Who is this consultation for?

Founders, executives, and team leads who want AI to drive real business results, whether you're just starting, stuck after a pilot, or scaling AI across the company.

What will I walk away with?

A clear view of your highest-value AI opportunity, the gaps blocking it (data, systems, governance, or measurement), and a concrete next step you can act on, whether or not we work together.

I've never built anything with AI. Is it too early to book?

No. This is the best time. Most expensive AI mistakes happen in the first decision: picking the wrong use case or building before the data is ready. We'll get that right first.

Is this a sales call?

No. The call is focused on your problem. If a paid project makes sense, I'll say so and outline what it would involve. If it doesn't, you'll still leave with useful direction.

Do you only work with Claude or OpenAI models?

No. I'm certified by both OpenAI and Anthropic and also work with open-source models. I recommend whatever fits your use case, data sensitivity, and budget.