diff --git a/README.md b/README.md
index 8ed99e2..820cb00 100644
--- a/README.md
+++ b/README.md
@@ -1,27 +1,27 @@
 # DataHelm
 
-DataHelm is a data engineering framework focused on:
+DataHelm is a data engineering framework focused on the following:
 
-- source ingestion orchestration
+- source ingestion and orchestration
 - dbt transformation workflows
 - notebook-based dashboard execution
-- reusable provider connectors (SharePoint, GCS, S3, BigQuery)
-- optional local-LLM analytics query scaffolding
+- reusable provider connectors (SharePoint, GCS, S3, and BigQuery)
+- optional local LLM analytics query scaffolding
 
-![alt text](https://github.com/DevStrikerTech/datahelm/blob/master/docs/architecture.png?raw=true)
+![DataHelm Architecture](https://github.com/DevStrikerTech/datahelm/blob/master/docs/architecture.png?raw=true)
 
 ## Core Capabilities
 
 - **Config-driven ingestion** using YAML in `config/api/`
-- **Dagster orchestration** for jobs, schedules, and sensors
-- **dbt project execution** through `analytics/dbt_runner.py` and dbt configs
+- **Dagster orchestration** for managing jobs, schedules, and sensors
+- **dbt project execution** through `analytics/dbt_runner.py` and dbt configuration files
 - **Dashboard generation** with Dagstermill notebooks
 - **Reusable handlers/connectors** for multiple external providers
 - **Optional NL-to-SQL module** (`analytics/nl_query/`) for local Ollama-based analytics workflows
 
 ## High-Level Architecture
 
-The repository follows layered responsibilities:
+The repository follows a layered responsibility structure:
 
 - `handlers/`: provider-specific source connectors and API handlers
 - `ingestion/`: ingestion factory + native ingestion implementations
@@ -60,7 +60,7 @@ docs/
 ### Prerequisites
 
 - Python 3.12+
-- PostgreSQL (reachable from local environment)
+- PostgreSQL (accessible from the local environment)
 - Optional: Docker, local Ollama, dbt CLI
 
 ### Installation
@@ -74,7 +74,7 @@ pip install -e .
 
 ### Environment Variables
 
-Create a `.env` file in repository root with required values, for example:
+Create a `.env` file in the repository root with the required values, for example:
 
 ```env
 DB_HOST=${DB_HOST}
@@ -91,7 +91,7 @@ CLASHOFCLANS_API_TOKEN=${CLASHOFCLANS_API_TOKEN}
 python scripts/run_dagster_dev.py
 ```
 
-Useful option:
+Useful option for quick verification:
 
 ```bash
 python scripts/run_dagster_dev.py --print-only
@@ -149,7 +149,7 @@ Run all tests:
 .venv/bin/python -m pytest -q
 ```
 
-Current suite covers:
+The current test suite includes coverage for:
 
 - ingestion and handler behavior
 - analytics factory and runner logic
@@ -172,7 +172,7 @@ Workflows:
 
 Container image is defined via `Dockerfile`.
 
-Default runtime command starts Dagster gRPC:
+Default runtime command starts the Dagster gRPC server:
 
 ```bash
 python -m dagster api grpc -m dagster_op.repository