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Resources

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Ask Nexus: QuickBooks Online

TUTORIALS

AI

January 26, 2026

Use Nexus to ask QuickBooks Online questions in plain language and get clear answers without digging through reports.

Civic and lttle.cloud partner to simplify AI workflows

COMPANY

AI

January 21, 2026

Civic and lttle.cloud partner to make automation easier and cheaper with usage-based hosting and Civic Nexus orchestration.

Civic milestones & updates: Q4 2025

COMPANY

AI

January 20, 2026

Civic Q4 2025 highlights growth after the Nexus launch, with new MCP servers, stronger security milestones, and deeper community engagement.

Meet your Creative Collaboration stack

PRODUCT UPDATES

AI

January 20, 2026

Civic Nexus connects Canva, Notion, Dropbox, Asana, and Webflow to streamline creative collaboration and keep projects moving from concept to launch.

Tool calling and AI agents: turning talk into action

INSIGHTS

AI

January 16, 2026

Tool calling lets AI move from chat to real execution by safely connecting models to systems—why it matters, why it’s hard, and how Nexus makes it reliable.

Which AI tool should you start with as a beginner?

INSIGHTS

AI

January 14, 2026

A practical guide to ChatGPT, Claude, Gemini, and Perplexity—how they differ, what each is best at, and how to choose the right AI tool for real work.

How AI will tackle complex work at scale

INSIGHTS

AI

January 8, 2026

AI struggles with big tasks but excels when work is decomposed. Learn how micro-agent workflows unlock scale, accuracy, and control.

Meet your Revenue stack

PRODUCT UPDATES

AI

January 6, 2026

Keep every deal in view. Civic Nexus orchestrates your revenue stack to reduce friction, surface insight, and help teams act with confidence.

The human glue holding your business together

INSIGHTS

AI

January 2, 2026

As work piles up, someone becomes the glue holding systems together. This is how efficiency quietly breaks—and how to fix it.

Why AI progress still feels slower than expected

INSIGHTS

AI

December 29, 2025

New McKinsey research shows why AI progress feels slow: high adoption, limited scaling, and workflows that haven’t caught up.