You will get Your Private AI Assistant System Design | Voice | Structured | Query able
Project details
Most “AI assistants” fail after a few weeks. Data becomes messy, unstructured, and impossible to reuse.
Agitation
Without a structured system, your voice notes, files, and health data stay fragmented. You lose long-term insights, consistency, and the ability to actually “learn from yourself.”
Solution
I design and help you deploy a private, structured AI assistant system that turns raw inputs into an evolving, queryable personal database.
This is not a tool. It is a long-term intelligence layer built around your life data.
What You Will Get (Outcomes)?
• Clear system architecture tailored to your workflow
• Voice/file → structured storage pipeline
• Organized knowledge base (Obsidian-ready or equivalent)
• Queryable AI layer for insights, planning, and recall
• Secure, private, and scalable design
• Guidance on real-world usage (not just setup)
Tools / Stack (Adapted to Your Preference)
• OpenClaw, n8n, Obsidian, Supabase, LangChain, Claude/OpenAI APIs, local-first setups, API integrations (e.g. WHOOP)
Remark
Start with a focused consultation. You’ll leave with a clear, realistic blueprint before committing to full build.
Best Reagrds,
Wisdom A.
Agitation
Without a structured system, your voice notes, files, and health data stay fragmented. You lose long-term insights, consistency, and the ability to actually “learn from yourself.”
Solution
I design and help you deploy a private, structured AI assistant system that turns raw inputs into an evolving, queryable personal database.
This is not a tool. It is a long-term intelligence layer built around your life data.
What You Will Get (Outcomes)?
• Clear system architecture tailored to your workflow
• Voice/file → structured storage pipeline
• Organized knowledge base (Obsidian-ready or equivalent)
• Queryable AI layer for insights, planning, and recall
• Secure, private, and scalable design
• Guidance on real-world usage (not just setup)
Tools / Stack (Adapted to Your Preference)
• OpenClaw, n8n, Obsidian, Supabase, LangChain, Claude/OpenAI APIs, local-first setups, API integrations (e.g. WHOOP)
Remark
Start with a focused consultation. You’ll leave with a clear, realistic blueprint before committing to full build.
Best Reagrds,
Wisdom A.
AI Algorithms
Autoencoder, Deep Belief Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Restricted Boltzmann Machine, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, Automatic Speech Recognition, Facial Recognition, Natural Language Generation, Neural Machine Translation, Speech Synthesis, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Tools
PyTorch, Replit, TensorFlowAI Models
GPT-4, LLaMA, Midjourney AI, OpenAI CodexWhat's included
| Service Tiers |
Starter
$90
|
Standard
$300
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 10 days |
Number of Revisions | 0 | 2 | 3 |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10Frequently asked questions
About Wisdom
AI Voice Agent Engineer | Business Automation | Claude, n8n AI Systems
Akure, Nigeria - 5:32 pm local time
Most companies today struggle with missed calls, slow follow-ups, and disconnected tools. This leads to lost revenue, poor customer experience, and inefficient operations. With that in mind, I design AI voice agents and automation systems that handle conversations, trigger workflows, and keep your entire pipeline moving without manual effort.
As the work develops, I approach every project from a systems perspective. Instead of just connecting tools, I build structured AI workflows that combine voice, logic, and automation into one reliable system. This allows your business to respond instantly, qualify leads, book appointments, and follow up automatically without breaking under real usage.
At the same time, I focus heavily on how these systems behave in real environments. AI voice agents should not sound robotic or fail under pressure. They should handle objections, adapt to conversations, and operate consistently across different scenarios. That is why I design with stability, scalability, and clarity in mind.
In doing so, I work with technologies such as Vapi, Retell AI, Twilio, n8n, Claude, and modern LLM frameworks to create systems that connect reliably with CRMs, calendars, and APIs. These systems do more than automate tasks. They create structured, predictable workflows that improve efficiency and reduce operational friction.
As a result, businesses I work with are able to reduce manual workload, respond faster to opportunities, and maintain consistent communication without increasing headcount. This is not just automation. It is building infrastructure that supports growth.
If you are looking for someone who understands both the technical side and the business impact of AI systems, then we are aligned.
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Steps for completing your project
After purchasing the project, send requirements so Wisdom can start the project.
Delivery time starts when Wisdom receives requirements from you.
Wisdom works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scope Clarity
I review your goals, current tools, data sources, privacy needs, and expected outcomes before defining the right system direction.
Architecture & Workflow Design
I map the full process from input to storage, automation, retrieval, and final user experience.