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techaurah/README.md

TechAurah: AI and Software Engineering

What TechAurah builds

Website · Free Tools · Flagship Project · Instagram · Facebook · LinkedIn

Tip

New here? If your business runs on inquiries and follow-up, start with the free lead automation audit at techaurah.com/tools. You keep the audit either way.

At a glance

What An AI and software engineering company: AI products, agentic systems, and automation
Who for Startups, SaaS, agencies, and service businesses that run on leads, bookings, and follow-up
Where Based in Pakistan, working remotely with clients in the USA, UK, UAE, Canada, Australia, and Europe
How to start One keyword on Instagram: AUTOMATE, BUILD, AGENT, INTEGRATE, FIX, or AUDIT
💻 Software 🧠 Intelligence ⚡ Automation
Products, MVPs, APIs, and platforms, built properly LLM features, agents, and RAG grounded in real business data Workflows that capture, qualify, follow up, and book while you sleep

What we do

🤖 Agentic AI

AI agents that reason, use tools, remember context, and complete multi-step work inside your operations, with guardrails and human approval where it matters.

⚙️ AI Automation

Lead handling, qualification, CRM updates, follow-up, reminders, and booking running as one system, not a pile of disconnected zaps.

🚀 AI Products and MVPs

New AI products and features taken from idea to a working, testable release your customers can actually use.

🔌 AI Integration

AI added into the product and tools you already run: your CRM, calendar, inbox, website, and internal systems.

🛠️ System Repair

Broken agents, flaky automations, and AI features that disappoint in production, diagnosed at the root and rebuilt properly.

📈 Scale and Optimisation

Working systems made faster, cheaper to run, and measurable, so growth does not break what already works.

Agentic AI, in depth

An agent is not a chatbot with a new name. It is an LLM given a goal, a set of tools, memory, and rules, then trusted to carry a real task to completion: reading an inquiry, checking the calendar, scoring the lead, writing the CRM, sending the follow-up, and booking the call.

The models we build on

Layer What we work with
Frontier LLMs GPT-class models (OpenAI), Claude (Anthropic), Gemini (Google)
Open models Llama, Mistral, and other open-weight models where cost, privacy, or hosting control matters
Embeddings and retrieval Vector search and RAG so agents answer from your data, not from guesses

Model choice is an engineering decision, not a loyalty. We pick per task: capability, latency, cost, and data rules.

How we build agents: code frameworks

Framework What it is best at in our work
LangChain The standard toolkit for LLM applications: model calls, tools, retrievers, and chains that compose fast
LangGraph Stateful agent graphs: multi-step agents with memory, branching, human-in-the-loop approval, and recovery when a step fails
CrewAI Role-based multi-agent teams, where specialised agents hand work to each other
Microsoft AutoGen Conversational multi-agent systems and agent collaboration patterns
OpenAI Agents SDK Lightweight agents with tools, handoffs, and tracing on OpenAI models
LlamaIndex Data-first agents and RAG: indexing, retrieval, and querying over business knowledge
Semantic Kernel Enterprise .NET and Microsoft-stack agent integration
MCP (Model Context Protocol) The open standard we use to connect agents to tools and data, including our own LeadPipe MCP

How we build agents: no-code and low-code tools

Not every system needs custom code. When speed matters more than depth, we build on:

Tool Best for
n8n Self-hostable workflow automation with AI nodes, our default automation backbone
Make Visual, scenario-based automation across hundreds of apps
Zapier The fastest path from a trigger to an action across mainstream SaaS
Flowise and Langflow Visual, low-code builders for LangChain-style agents and chatflows
Dify Low-code LLM app and agent workflows with built-in RAG
Voiceflow No-code conversational and voice agent design

Our rule: no-code to validate, code to scale. Many client systems start on n8n and graduate the hard parts to LangGraph or a custom MCP server when volume or logic demands it.

Agent patterns we ship

Single agent with tools · Multi-agent teams · Human-in-the-loop approval · RAG-grounded agents · Planner and executor loops · Guardrails, evaluation, and fallback models on every production agent

Automation, in depth

  • Lead capture from Instagram, WhatsApp, web forms, and email into one pipeline
  • Instant AI replies in under a minute, at 2pm or 2am
  • AI qualification and scoring against your criteria, not generic questions
  • CRM write and update on HubSpot, Pipedrive, GoHighLevel, or Google Sheets
  • Follow-up sequences that stop the moment a human replies
  • Calendar booking with availability checks and reminders
  • Daily pipeline summaries so nothing hot ever sits unseen

The full open blueprint, with architecture and prompts, is the featured project below.

Featured project: AI Lead Automation

flowchart LR
    A[Lead arrives] --> B[Instant AI reply]
    B --> C[AI qualification]
    C --> D{Score}
    D -->|Hot 80+| E[Book the call]
    D -->|Warm 65 to 79| F[Follow-up sequence]
    D -->|Nurture 50 to 64| G[Long-term nurture]
    E --> H[CRM updated]
    F --> H
    G --> H
Loading

Explore the repository

Open-source portfolio

Five focused tools, each solving one problem completely, and one free course, all MIT licensed and open to contributions:

Project The problem it solves
Agentic AI for Beginners Anyone learning to build agents has no free, complete course that runs from the first tool call to a tested, deployed business assistant
LeadPipe MCP Businesses with no CRM get a scored, bookable lead pipeline an AI assistant can safely operate, on Google Sheets and Calendar
n8n-audit Production n8n workflows carry known failure classes (secrets, open webhooks, no error handling) that nobody checks automatically
QualBench Agent changes ship untested against business outcomes: wrong stage, invalid booking, invented discount
ChaseKit Earned money sits uncollected because invoice chasing is manual, and the tools are suites or closed SaaS
SlotFill Cancelled and no-show slots sit empty while waitlisted clients are never asked

Learn with TechAurah Academy

TechAurah Academy is where we teach the work in the open. Start with Agentic AI for Beginners, our free course of 36 lessons plus a capstone: the free way to learn how we design, build, test, and ship agents, in the same order we use with clients.

Tech we work with

Core stack: Python, TypeScript, JavaScript, Node.js, Git, GitHub

LangChain LangGraph OpenAI Claude Model Context Protocol n8n Make Zapier HubSpot Google Workspace WhatsApp

How we work

Step What happens
1. Discover We learn how your business actually runs: where leads, time, and money leak
2. Diagnose A clear audit: the problem, the cost of leaving it, and the fix that matters most
3. Design A scoped plan: what gets built, what it connects to, what it deliberately leaves out
4. Build Working software in short cycles, tested against real cases from your business
5. Launch and improve Deployed, monitored, and tuned. Systems get smarter, or they get replaced

Who we work with

Agencies · Real estate · Clinics and med spas · Dental · Law firms · Home services · Roofing and solar · Recruitment · Consulting and coaching · SaaS and B2B · Ecommerce · Startups and SMEs

Building in public

Our open-source presence started in October 2026. Everything listed here links to something real.

Date What shipped
Oct 31, 2026 AI Lead Automation blueprint published with full docs and MIT license
Oct 31, 2026 First external contribution opened: LangWatch example for the n8n docs OpenTelemetry tracing page, in discussion with maintainers
Nov 1, 2026 Five open-source projects published at v0.1.0, all with green CI: LeadPipe MCP, n8n-audit, QualBench, ChaseKit, SlotFill

In progress: v0.2 work across the portfolio (a SQLite store for LeadPipe MCP, more n8n-audit rules, new QualBench scenario packs, more ChaseKit jurisdictions, SlotFill calendar adapters), plus external contributions to the tools we build on.

Community and support

Channel Best for
GitHub Issues Bugs, ideas, and questions about our open source
Instagram @techaurah Starting a project (send a keyword), quick questions
techaurah.com Project inquiries, the free audit, and free tools
Facebook Updates and community

Start a project

Keyword You get
AUTOMATE A lead automation system for your business
BUILD An AI product or MVP, scoped and engineered
AGENT A custom AI agent for your operations
INTEGRATE AI added into your existing tools and product
FIX A broken automation or AI system diagnosed and repaired
AUDIT A free audit of your current lead flow, with the leaks costed

Contributing

  1. Open an issue first, with enough detail to reproduce the problem or evaluate the idea.
  2. Agree the shape with us in the issue, then send a pull request.
  3. Small, focused, and tested beats large and speculative, every time.

Questions, answered

Code or no-code: which do you recommend? Both, in sequence. No-code (n8n, Make, Zapier) validates a workflow in days. When volume, logic, or cost demands it, the hard parts graduate to code: LangChain, LangGraph, or a custom MCP server. We work in both worlds, so the advice is not biased by what we sell.
Which LLM should my business use? It depends on the task: reasoning depth, speed, cost per call, and your data rules. We build model-agnostic systems, so you are never locked to one provider, and we recommend after seeing your actual use case, not before.
Is TechAurah a product company or an agency? An engineering company. We build AI products and systems for clients, and we publish our own blueprints and tools as open source, starting with AI Lead Automation and LeadPipe MCP.
Where are you based, and who do you work with? Based in Pakistan, working remotely with companies in the USA, UK, UAE, Canada, Australia, and Europe. Communication and delivery are fully online.
What does the free audit include? A scored review of your lead flow: where inquiries arrive, how fast they get answered, how qualification and follow-up work, and what the leaks are costing. You keep the audit either way. Start at https://techaurah.com/tools
Do you open source client work? Never client data or private systems. We publish patterns, blueprints, and tools that are ours to share, generalised so any business can learn from them.

Work with TechAurah TechAurah on LinkedIn

TechAurah: Software · Intelligence · Automation. Building intelligent systems that move businesses forward.

Pinned Loading

  1. ai-lead-automation ai-lead-automation Public

    Open blueprint for AI lead automation: architecture, qualification prompts, CRM field mappings and follow-up patterns for capture, instant reply, scoring and booking. No lock-in, MIT.

  2. agentic-ai-for-beginners agentic-ai-for-beginners Public

    Agentic AI for Beginners: a free, complete course with 36 lessons and a capstone. Learn to design, build, test and ship AI agents that do real work, from your first tool call to a deployed business…

    Python

  3. leadpipe-mcp leadpipe-mcp Public

    An MCP server that gives small businesses without a CRM a scored, bookable lead pipeline on Google Sheets and Calendar, with dedup, stage validation and approval-safe writes.

    Python

  4. n8n-audit n8n-audit Public

    Production-readiness linter for n8n workflows: catches secrets, unauthenticated webhooks, missing error workflows and more, before they drop leads.

    Python

  5. qualbench qualbench Public

    Outcome regression testing for AI qualification and booking agents: deterministic assertions on stage, score, bookings and handoffs, with mock CRM and calendar and vertical scenario packs.

    Python

  6. chasekit chasekit Public

    The open-source invoice-chasing layer: overdue detection, statutory late-payment interest for UK and EU, a four-stage tone ladder, and approval-first sending. Not an invoicing app.

    Python