In 2026, every freelancer profile in Gujarat says "AI expert." Most have wrapped a SaaS API and added "ChatGPT inside." Hiring the wrong one costs months and lakhs in hallucinated invoices, leaked data, and agents that cannot ship beyond a demo.
As an AI developer hiring and being hired across Ahmedabad, Surat, Rajkot, Vadodara, and Junagadh, here are the 7 questions that expose fake experts — and what a real answer sounds like.
1. "Show me your MCP server — not your ChatGPT wrapper"
Why it matters: In 2026, MCP is the universal protocol connecting agents to real databases. A real developer has built an MCP server; a faker has only called an OpenAI API.
Good answer: Walks you through a typed tool like query_inventory_database(sku, location) over SSE/HTTP, with Pydantic validation and RBAC. Shows FastAPI code + auth. Bad answer: "We use APIs."
See our build log: Building an MCP Server with FastAPI (sub-50ms).
2. "How do you prevent hallucinations on my pricing data?"
Good answer: "Facts live in RAG retrieval, behavior in weights. We index your PDFs/price lists into pgvector, retrieve with citations, and never trust the LLM for prices — tools return JSON, LLM formats it." If they say "fine-tune on your prices," walk away — every price change would need re-training (see Fine-Tuning vs RAG).
3. "Where does my data live, and who can query it?"
Good answer: "On your private VPS/on-prem in India, RBAC per table/role, credentials never pass through external APIs, immutable audit log for every tool call." Bad answer: "In the cloud, secure don't worry." For Gujarat SMEs, data sovereignty is non-negotiable.
4. "What is your model tiering and caching strategy?"
Good answer: "SLM router → mid-tier execution → frontier only for planning, semantic caching at 95% similarity = 15ms cached replies, 60-80% cost cut." If they route every query to GPT-4, your bill will 4x. See SLM vs LLM cost guide.
5. "Walk me through a failure — a tool timeout, a rotated PDF"
Good answer: Describes retries, image pre-processing, validation, and graceful handoff to human — with logs. Real builders have failure stories. Fakers have only demos.
6. "What evaluation set do you ship on day one?"
Good answer: "100 edge cases — Gujarati invoices, 2AM WhatsApp messages, ambiguous SKUs — scored before deployment, with pass/fail gates." No evaluation = no production readiness.
7. "Can I talk to a live deployment — not a localhost demo?"
Good answer: Shares a live WhatsApp number or agent URL handling real orders, plus latency metrics (p50 <200ms). A demo can be faked; a live system with logs cannot.
Bonus: Red Flags That Save You Lakhs
- "We guarantee 100% accuracy" — no agent does.
- "We store your data to train our model" — violates your IP.
- No mention of MCP, RAG, or evaluation — they are 2023 wrappers.
Bottom Line
The viral hiring mistake of 2026 is paying for a ChatGPT skin when you needed an agent architect. Ask these seven; the expert will light up, the faker will deflect. When you want the system designed correctly — private MCP, grounded RAG, tiered models, audited logs — that is exactly what we ship via AI Development from Junagadh for Gujarat and India. Bring these questions to our first call — I will answer all seven on the record.
Frequently Asked Questions
How much does hiring a real AI developer cost in Gujarat?
Pilot agent Rs 40k–90k, full swarm Rs 1.2L–2.5L+ depending on ERP/MCP complexity — with fixed operating costs via tiering, not per-chat surprises.
Can one AI developer handle WhatsApp + Voice + RAG?
A senior agent architect should orchestrate all three; expect a 7-14 day pilot for one channel, 3-4 weeks for hybrid.
How quickly can Deepak Bagada start in Junagadh/Gujarat?
Discovery in 48 hours, pilot deployment in 7-14 days for scoped workflows like lead-to-WA or invoice parsing.
Where can I verify Deepak Bagada's work?
On featured projects, live journal architectures, and schema-verified case studies — all built with the practices above.