Tom Langridge
Co-founder of Fastio and VividEngine
Tom Langridge is the co-founder of Fastio and VividEngine. He has spent 20 years building technology companies and products used by more than 100 million people. At Fastio, he focuses on shared workspaces where people and AI agents can securely store, search, share, and collaborate on files.
Latest guides by Tom Langridge
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How to Connect Claude Desktop to Box Storage via MCP
Claude Box MCP connects Anthropic Claude Desktop to enterprise Box storage using the Model Context Protocol, giving Claude tool-driven search over corporate documents. While direct Box connectors require custom app setups and crawl folders sequentially, connecting Box to an intelligent Fast.io workspace pre-indexes files for hybrid keyword and semantic retrieval. Claude queries relevant passages via remote MCP without exhausting context limits or exceeding API quotas.
Claude Code Box Integration: Connect CLI Agents to Box via MCP
Claude Code Box integration connects Anthropic's command-line coding agent to enterprise Box storage via the Model Context Protocol, grounding code generation in enterprise documentation. While Box offers a hosted remote MCP server, direct terminal retrieval floods prompt context with large files. Syncing Box folders into an indexed Fastio workspace lets developers query precise semantic excerpts via MCP while keeping Box as the primary repository.
How to Connect Claude Desktop to Dropbox Files via MCP
Claude Dropbox MCP allows Anthropic Claude Desktop to query, search, and retrieve files stored in Dropbox accounts through Model Context Protocol tool interfaces. While local Stdio scripts and direct connectors often struggle with recursive directory walking, unreadable scanned PDFs, and context window limits, syncing Dropbox folders into an indexed Fast.io workspace enables fast hybrid search through a remote MCP endpoint without local process overhead.
How to Connect Claude Desktop to Google Drive Using MCP
Connecting Claude Desktop to Google Drive gives AI assistants direct access to company documents, spreadsheets, and PDFs. Standard community MCP servers and native connectors pull entire files across sequential tool calls, rapidly saturating Claude context window on multi-document queries. This guide covers how to configure Google Drive MCP integrations, compares local and remote architectures, and demonstrates how indexed workspace retrieval cuts latency and token consumption.
Copilot Dropbox Integration: Microsoft 365 Copilot vs. Fast.io Workspaces
A Copilot Dropbox integration connects Microsoft Copilot to Dropbox repositories via Microsoft Graph connectors or intelligent workspaces, enabling AI models to retrieve indexed document sections on demand without traversing full directory trees. While native connectors index files through scheduled crawls, they require steep per-seat licenses and exclude comments. Fast.io lets teams keep Dropbox storage, sync folders into workspaces, and connect agents via remote MCP.
How to Connect Cursor to OneDrive: Integration and Sync Guide
A Cursor OneDrive integration links the Cursor AI code editor to Microsoft OneDrive folders, allowing developers and coding agents to ground code generation in specifications, diagrams, and documentation stored in the cloud. Syncing OneDrive folders into an intelligent Fast.io workspace pre-indexes files for hybrid search over remote MCP, avoiding local disk clutter and 0-byte Files On-Demand placeholder failures.
How to Connect Google Gemini to Box: Enterprise Setup vs. Fast.io Workspaces
A Gemini Box integration connects Google Gemini models and agentic workflows to Box enterprise content, allowing autonomous agents to query, synthesize, and extract structured metadata from Box documents. While Gemini Enterprise provides federated search through Vertex AI data stores, developer workflows benefit from syncing Box folders into Fast.io workspaces. Hybrid search and remote Model Context Protocol (MCP) endpoints eliminate recursive directory crawling and API rate limits.
Law Firm Collaboration Software: Managing Cross-Firm, Co-Counsel, and Client Workspaces
Law firm collaboration software provides structured, permission-controlled digital workspaces where attorneys, paralegals, outside co-counsel, and clients securely coordinate files, exhibits, and communications per matter. By replacing fragmented email attachments and consumer cloud drives with standardized matter folders and branded client portals, legal teams safeguard privileged records and maintain an immutable chain of custody across every active case.
Essential Legal Software Programs: The Modern Law Firm Tech Guide
Modern law firms rely on specialized legal software programs to eliminate administrative overhead, protect client confidentiality, and simplify matter operations. Rather than forcing diverse workflows into a rigid monolithic suite, growing practices build a modular stack connecting practice management, dedicated document workspaces, trust accounting, litigation support, and secure client portals. This guide details each essential software layer and practical implementation steps.
Litigation Support Management: Best Practices for Trial Files, Exhibits, and ESI
Litigation support management is the operational practice of organizing, securing, and maintaining the chain of custody for electronically stored information (ESI), deposition records, and trial exhibits throughout the dispute lifecycle. By implementing standardized folder hierarchies, hash verification, granular access controls, and defensible audit logging, legal teams eliminate evidentiary disputes and prepare case files for trial.
ChatGPT Character Limits: The 25,000-Character Paste Limit and Solutions
The ChatGPT web interface enforces a frontend paste limit that triggers truncation warnings or forces file attachment conversions when messages become excessively long. While splitting text across messages degrades conversational context and burns quota, large corpora require external indexing rather than manual pasting. Connecting persistent workspaces through MCP allows assistants to search indexed files on demand.
ChatGPT Message Limits: Quotas, Cooldowns, and Large File Workarounds
Text chat in ChatGPT is unlimited; uploads, images, and voice are capped within rolling windows. When conducting in-depth research across multi-page files, document attachments consume conversational context and burn prompt allowances quickly. Decoupling file storage into persistent workspaces via the Model Context Protocol lets assistants query indexed documents directly without exhausting conversational message quotas.