Basic explanation of different types of AI Chatbots
Examples: ChatGPT, Claude, Gemini, Copilot, Meta, DeekSeek
Use Case: Versatile assistants for Q&A, drafting documents, coding help, safety guidelines, etc.
Strength: Broad capabilities, no setup needed.
Limitation: Not industry-specific out of the box.
Examples: Chatling.ai, Botpress.com
Use Case: Non-technical users create tailored Q&A bots using company documents, FAQs, or workflows.
Strength: Quick to deploy internally.
Limitation: May lack deep reasoning or industry-specific nuance.
Examples: Togal.AI (takeoff automation), Beam AI (project optimization)
Use Case: AI tools built into existing software platforms used in electrical construction.
Strength: High relevance and immediate value.
Limitation: Less flexible—only good for the task it's designed for.
Description: Internally developed AI chatbots tailored to specific company workflows, databases, and needs.
Use Case: Automate safety reporting, training logs, inventory queries, etc., using proprietary logic and integrations.
Strength: Deep alignment with company systems and privacy control.
Limitation: Costly and time-intensive to build and maintain.