Evaluating bids

Founder Ai Brain + Ai Knowledge System (N8n • Obsidian • Vector Db • Claude)

Published on the March 08, 2026 in IT & Programming

About this project

Open

Senior AI Systems Integrator
Founder AI Brain + AI Knowledge System (n8n • Obsidian • Vector DB • Claude)

Project Type: Expert implementation / system integration
Engagement: Project-based (30–50 hours estimated)
Location: Remote
Language: English or Portuguese

Overview

I am building a private AI-native knowledge and execution system for myself and my companies.

Part of the system is already installed and working. What I need now is a senior specialist who can properly connect the components, refine the architecture, and make the system fully operational.

This is not a basic automation project.

The goal is to create a Founder AI Brain + Company AI Imprint system that:

captures business knowledge from meetings, communications, crm, and daily work

organizes that knowledge into a structured system

makes it searchable and usable for ai reasoning

supports workflows for decision-making, client work, sales, and content

leaves the system documented and usable after delivery

current tech stack

part of the stack is already installed.

Core components include:

n8n (automation orchestration)

Obsidian (knowledge system)

NextCloud (central storage)

Qdrant / vector database

Claude / LLM workflows

ScreenPipe (desktop capture layer)

Business tools integrated in the system:

GoHighLevel (CRM)

HubSpot

Ro.am (meetings)

Plaud

Slack

Outlook

WhatsApp

Apple Notes

LinkedIn / Instagram / Facebook

La Growth Machine

Your role is to articulate these systems into a coherent architecture.

Scope of Work

The right partner will help:

review and refine the current architecture

connect existing tools into a coherent system

structure the knowledge layer properly

implement key automation workflows

ensure AI retrieval and reasoning works effectively

document the system

provide training / handover

Example workflows expected:

Meeting → Knowledge Pack

Daily Worklog

Communications Digest

Lead Campaign Digest

Social Insights Digest

CRM Briefing

Required Skills

You must have real experience with most of these.

Core Skills

n8n

Obsidian

Vector databases (Qdrant or similar)

ai knowledge systems / rag

llm workflow design (claude or similar)

api integrations

self-hosted environments

markdown knowledge architectures

strong plus

gohighlevel

hubspot

screenpipe

slack integrations

outlook / imap parsing

whatsapp workflow strategies

ai automation architecture

ideal candidate

this role is best suited for someone who has built:

ai knowledge systems

second-brain architectures

semantic memory systems

founder operating systems

complex automation environments

if your experience is mainly basic automations or simple chatbot projects, this will likely not be the right fit.

Estimated Effort

Expected scope:

30–50 hours total

implementation over 2–5 weeks

Includes:

architecture refinement

system integration

workflow implementation

documentation

training

How to Apply

To keep the process selective, please avoid generic applications.

Include the following:

A short note explaining why this project interests you

2–3 relevant projects you have built

Your experience level with:

n8n

Obsidian

vector databases

LLM workflows

Your preferred pricing model (hourly or fixed)

Candidates who demonstrate clear expertise in AI-native systems and knowledge architectures will be invited for a short introduction call.

Category IT & Programming
Subcategory Artificial Intelligence
Project size Large

Project duration Not specified

Skills needed