You will get proof that your AI voice agent's bookings reached the CRM
Project details
You will get the screen your client opens when they ask "did it actually book that?"
Your platform reports the tool call as a success. Vapi's own docs tell you to return HTTP 200 even on errors, because anything else is ignored. The dashboard goes green whether or not the appointment exists.
I build the layer that checks.
Every booking is written, then read back out of the CRM before it counts. Failed writes retry under the same key, so a retry cannot double book. Anything still missing is re-attempted and marked recovered. Your client sees each one, per call, with the receipt.
Also included:
• Live call view: transcript as it is spoken, interruptions marked, response time per turn.
• Calls answered, booked, missed and returned, rolling window.
• What callers asked that it could not answer, grouped, so you fix the script.
Each platform is one module, so switching or adding one is not a rebuild.
Watch the 53-second demo. It runs on sample data, labelled on screen. It is my own product, not client work, and nobody has paid for it yet. That is why the first three builds are priced below what this will cost later.
Tell me your platform and your CRM and I will say if it fits.
Your platform reports the tool call as a success. Vapi's own docs tell you to return HTTP 200 even on errors, because anything else is ignored. The dashboard goes green whether or not the appointment exists.
I build the layer that checks.
Every booking is written, then read back out of the CRM before it counts. Failed writes retry under the same key, so a retry cannot double book. Anything still missing is re-attempted and marked recovered. Your client sees each one, per call, with the receipt.
Also included:
• Live call view: transcript as it is spoken, interruptions marked, response time per turn.
• Calls answered, booked, missed and returned, rolling window.
• What callers asked that it could not answer, grouped, so you fix the script.
Each platform is one module, so switching or adding one is not a rebuild.
Watch the 53-second demo. It runs on sample data, labelled on screen. It is my own product, not client work, and nobody has paid for it yet. That is why the first three builds are priced below what this will cost later.
Tell me your platform and your CRM and I will say if it fits.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Performance OptimizationWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,450
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 5 |
Design Customization | - | - | |
Content Upload | - | - | - |
Responsive Design | |||
Source Code | - | - | - |
Frequently asked questions
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Ross B.
Feb 10, 2022
Write Trading Script for New Crypto Trading Platform
About Mohsin
Senior Python & Java Engineer | Production AI Agents, Voice, RAG
Berlin, Germany - 3:11 pm local time
Small fixed jobs welcome, not only full builds: script repairs, APIs, automation, AI agents, voice AI. Price follows your scope; the standard and tests don't.
Most AI agent projects don't fail on the model. They fail the first time something unexpected happens, a caller interrupts, an API times out, a retrieval comes back empty and nobody built for that. That reliability layer is what I do, and it's the same discipline that makes a plain script or API hold up.
WHAT I BUILD
• Voice AI agents: inbound/outbound phone and web agents on Vapi, Retell, LiveKit and Twilio, with custom Python/Java backends for booking, lead qualification and support
• Agent orchestration: multi-agent systems, tool calling, MCP servers, Claude/OpenAI APIs, LangChain/LangGraph
• RAG done properly: grounded answers with citations, refusal when the evidence is thin, the full agent trace logged
• Production backends: Python (FastAPI) and Java (Spring Boot), PostgreSQL, AWS, Kubernetes. The auth, retries, idempotency and monitoring that keep a feature alive on a Tuesday afternoon
SELECTED WORK
• Nexus: a voice AI platform I built and run, in production with real businesses. Client work is the day job.
• ARIA: AI voice + chat agent for real-estate lead intake (my own build). Answers property enquiries by voice and chat, qualifies the lead, books the viewing, hands off a structured summary.
• Enterprise background: regulated platforms for DAX 40-listed clients at EQS Group. 99.99% uptime, deployments cut from 2 hours to 5 minutes, infrastructure costs down 35%. Earlier career: 100+ mobile apps, 5M+ combined downloads (mobile era, now retired).
HOW I WORK
• Fixed, testable milestones: you fund the first, judge the result, then continue. Single milestone on small jobs.
• Numbers over adjectives: latency, failure modes and costs come with a stated method, not a claim
• Berlin (CET): real-time overlap with EU hours and US-East mornings; GDPR-aware from years on regulated German platforms
• Responses within a few hours on working days
If your project has to answer a phone, answer from your documents, keep working when something breaks, or just needs a script that works by Friday, tell me what you're building.
Steps for completing your project
After purchasing the project, send requirements so Mohsin can start the project.
Delivery time starts when Mohsin receives requirements from you.
Mohsin works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm fit and access
You share your voice platform and CRM. I confirm the adapter fits, then we set up API access against a sandbox or a test pipeline in your CRM.
Build the verified write-back
Every booking is written, then read back out of the CRM before it counts. Failed writes retry under one idempotency key and a sweep marks late landings as recovered. The call list and per-call record go up as this runs.