Full-Stack Development: Latent Lens — AI Evaluation & Quality Intelligence SaaS MVP
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
Project Title
Full-Stack Developer: Build Latent Lens — AI Evaluation SaaS Platform (MVP)
1. Project Overview
We are building Latent Lens, a B2B AI evaluation and quality intelligence platform. Latent Lens helps engineering teams and AI product managers test LLM applications, RAG pipelines, and AI agents for factual accuracy, hallucinations, and instruction adherence.
We are not looking for a generic landing page or a simple chatbot wrapper. We need an experienced full-stack developer who understands AI evaluation frameworks (e.g., LLM-as-a-judge, Ragas, DeepEval, and failure taxonomy classification) to build a functional MVP.
2. Core Features & Requirements
* Public Marketing Site: Dark navy/black theme with cyan/teal accents (#050811), clean UI, capability breakdowns, and an illustrative sample report.
* User Authentication & Dashboard: Secure sign-up/sign-in, user dashboard, and evaluation history.
* Free AI Response Checker (Core MVP Feature):
* Users submit an original prompt, an AI-generated response, and optional ground truth context.
* The backend runs a real evaluation engine (not a static mockup) to assess hallucinations, instruction breaches, and provide actionable remediation steps.
* Inquiry Pipeline: A functional form for prospective clients to request paid audits or custom pilots.
3. Recommended Tech Stack
* Frontend: Next.js (React), Tailwind CSS, TypeScript.
* Backend: Node.js or Python (FastAPI), with async task queues.
* Database & Auth: Supabase/PostgreSQL, Auth0, Clerk, or Supabase Auth.
* AI Integration: Structured LLM API calls (OpenAI Structured Outputs or custom evaluation heuristics).
4. What to Include in Your Proposal
Generic bids will be ignored. Your proposal must include:
* Relevant Work: Links, live demos, or screenshots of AI evaluation tools, LLM testers, or developer software you have personally built.
* Technical Approach: A brief explanation of how you will architect the evaluation backend.
* Quote & Timeline: Fixed-price quote for the Phase 1 MVP and estimated delivery timeline.
* Project Handover: Confirm that the agreed deliverables will include the complete source code, deployment assistance, documentation, and handover, with source-code ownership transferred to me under the agreed terms. Also itemize any ongoing hosting, API, or other recurring costs.
Mandatory Screening Question:
To prove you have read this brief, start your proposal by answering:
“What is the key architectural difference between an AI chatbot and an AI evaluation platform? Describe one evaluation metric you have implemented in code and how you ensured calibrated results.”
Proposals without a direct answer and evidence of relevant experience will be ignored.
Full-Stack Developer: Build Latent Lens — AI Evaluation SaaS Platform (MVP)
1. Project Overview
We are building Latent Lens, a B2B AI evaluation and quality intelligence platform. Latent Lens helps engineering teams and AI product managers test LLM applications, RAG pipelines, and AI agents for factual accuracy, hallucinations, and instruction adherence.
We are not looking for a generic landing page or a simple chatbot wrapper. We need an experienced full-stack developer who understands AI evaluation frameworks (e.g., LLM-as-a-judge, Ragas, DeepEval, and failure taxonomy classification) to build a functional MVP.
2. Core Features & Requirements
* Public Marketing Site: Dark navy/black theme with cyan/teal accents (#050811), clean UI, capability breakdowns, and an illustrative sample report.
* User Authentication & Dashboard: Secure sign-up/sign-in, user dashboard, and evaluation history.
* Free AI Response Checker (Core MVP Feature):
* Users submit an original prompt, an AI-generated response, and optional ground truth context.
* The backend runs a real evaluation engine (not a static mockup) to assess hallucinations, instruction breaches, and provide actionable remediation steps.
* Inquiry Pipeline: A functional form for prospective clients to request paid audits or custom pilots.
3. Recommended Tech Stack
* Frontend: Next.js (React), Tailwind CSS, TypeScript.
* Backend: Node.js or Python (FastAPI), with async task queues.
* Database & Auth: Supabase/PostgreSQL, Auth0, Clerk, or Supabase Auth.
* AI Integration: Structured LLM API calls (OpenAI Structured Outputs or custom evaluation heuristics).
4. What to Include in Your Proposal
Generic bids will be ignored. Your proposal must include:
* Relevant Work: Links, live demos, or screenshots of AI evaluation tools, LLM testers, or developer software you have personally built.
* Technical Approach: A brief explanation of how you will architect the evaluation backend.
* Quote & Timeline: Fixed-price quote for the Phase 1 MVP and estimated delivery timeline.
* Project Handover: Confirm that the agreed deliverables will include the complete source code, deployment assistance, documentation, and handover, with source-code ownership transferred to me under the agreed terms. Also itemize any ongoing hosting, API, or other recurring costs.
Mandatory Screening Question:
To prove you have read this brief, start your proposal by answering:
“What is the key architectural difference between an AI chatbot and an AI evaluation platform? Describe one evaluation metric you have implemented in code and how you ensured calibrated results.”
Proposals without a direct answer and evidence of relevant experience will be ignored.
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