AI Interface Software

Large language model access and AI-assisted workflows.

Key Functions

Function	Description	AI Opportunity
Chat Interface	Conversational AI interaction	Core function
Context Management	Conversation history, memory	Long-term memory
File Analysis	Document, image, code understanding	Multimodal
Code Generation	Write, explain, debug code	Agentic coding
Writing Assistance	Draft, edit, summarize content	Style adaptation
Research	Search, synthesize information	Real-time data
API Access	Programmatic model access	Custom integration
Team Collaboration	Shared conversations, workspaces	Knowledge capture
Custom Instructions	Personalized behavior	Learning preferences
Tool Use	Web browsing, code execution	Autonomous agents

Entity	Fields	Volume	Sensitivity
Conversations	messages, timestamps, model, tokens	Very High	High
Files	uploaded documents, images, code	High	Variable
Custom Instructions	system prompts, preferences	Low	Medium
API Keys	tokens, permissions, usage limits	Low	High
Usage Metrics	tokens, costs, model usage	High	Low
Shared Workspaces	team conversations, permissions	Medium	High
Plugins/Tools	enabled integrations, configs	Low	Medium
Memory	learned facts, preferences	Medium	High

Product	Strength	Best For
Claude	Reasoning, safety, long context	Complex analysis
ChatGPT	Ecosystem, plugins, familiarity	General use
Perplexity	Search integration, citations	Research
Gemini	Google integration, multimodal	Google ecosystem
Copilot	Microsoft integration, enterprise	Microsoft shops

This IS the disruption layer. The question is which interfaces and models win.

Build vs Buy: Buy the models, build the interface if you need custom workflows. Most should use existing interfaces unless AI is core to product.