You will get a working AI prototype or simple web app built fast
Rising Talent
Rising Talent
Project details
You will get a focused AI prototype or simple web app built to prove a real use case quickly—without paying for a large production build before the idea is validated.
Good fits include:
• AI chatbot or internal assistant
• RAG search over a small document set
• LLM evaluation or regression harness
• Agent or multi-step workflow demo
• AI-enabled dashboard or form
• API, webhook, database, or authentication integration
• WhatsApp or Meta workflow proof of concept
• Responsive landing page with an AI feature
I work across AI product strategy and hands-on implementation: multi-agent systems, RAG, evals, guardrails, model routing, SaaS architecture, APIs, internal tools, and responsive web experiences. I use AI-native development tools such as Codex to move quickly while still testing the critical path and documenting the handoff.
The entry tier is intentionally narrow and inexpensive: one focused feature, screen, or technical proof. Larger tiers add integration, persistence, deployment, and more complete user flows. Third-party API, hosting, messaging, and model usage fees are not included.
Good fits include:
• AI chatbot or internal assistant
• RAG search over a small document set
• LLM evaluation or regression harness
• Agent or multi-step workflow demo
• AI-enabled dashboard or form
• API, webhook, database, or authentication integration
• WhatsApp or Meta workflow proof of concept
• Responsive landing page with an AI feature
I work across AI product strategy and hands-on implementation: multi-agent systems, RAG, evals, guardrails, model routing, SaaS architecture, APIs, internal tools, and responsive web experiences. I use AI-native development tools such as Codex to move quickly while still testing the critical path and documenting the handoff.
The entry tier is intentionally narrow and inexpensive: one focused feature, screen, or technical proof. Larger tiers add integration, persistence, deployment, and more complete user flows. Third-party API, hosting, messaging, and model usage fees are not included.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, ReplitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$49
|
Standard
$199
|
Advanced
$499
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Cesar
AI Product & Automation Consultant | Agents, SaaS, Workflows
San Andres Cholula, Mexico - 4:01 pm local time
My work sits at the intersection of AI product management, workflow automation, and hands-on technical architecture. I can audit an existing process, identify the highest-value automation opportunities, design the solution, define evals and guardrails, and work with your team through implementation and handoff.
I am a strong fit for:
• AI workflow and operations audits
• AI agents and multi-step automations
• RAG, retrieval quality, evals, and guardrails
• SaaS product audits and pre-launch reviews
• Model routing and cost/latency optimization
• AI implementation roadmaps and technical requirements
• Internal tools, API integrations, and practical prototypes
At Pivot, I lead AI architecture for a multi-agent SaaS product, including tool-using workflows, AWS Bedrock model routing, PostgreSQL/pgvector RAG, regression evals, and responsible-AI controls. I also lead AI-native development practices across an eight-engineer team; those workflows have contributed to roughly 40% higher engineering output and 50% fewer production bugs.
As co-founder and Product Lead at Zealix, I designed a multi-tenant SaaS platform for multi-location businesses, including permissions, operational workflows, reporting, analytics, and AI-assisted features.
Typical deliverables include a prioritized audit, workflow map, architecture recommendation, prototype or implementation plan, measurable acceptance criteria, and clear documentation so you own the result.
If you have a recurring bottleneck, an AI feature that needs a practical plan, or a SaaS product that needs an expert pre-launch review, send me the workflow, current stack, deadline, and desired outcome.
Steps for completing your project
After purchasing the project, send requirements so Cesar can start the project.
Delivery time starts when Cesar receives requirements from you.
Cesar works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope and acceptance criteria
Turn your use case into a small build plan with explicit boundaries, inputs, outputs, and success checks.
Build the prototype
Implement the agreed UI, AI or API behavior, data flow, and the minimum code needed for a useful demonstration.