PRACTICAL AI FIELD GUIDES
Guides for building useful, reliable AI experiences
Explore practical articles on AI agents, RAG, integrations, security, and operations. Browse by topic or search for the question you need answered.
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AI Agents
Design useful agents, choose the right level of autonomy, and plan safe human handoffs.
RAG & Data
Make business knowledge searchable with sound retrieval, evaluation, and data practices.
Integrations
Connect assistants to websites, APIs, CRMs, and the tools your team already uses.
Security & Privacy
Set trust boundaries, protect customer data, and design safer AI workflows.
Industry & Applications
See how AI assistants fit real customer and operational workflows.
Evaluation & Operations
Measure quality, monitor production behaviour, and keep improving over time.
Latest articles
Explore new ideas and practical guidance from the ChatNexus library.
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A2UI for AI Agents: Dynamic Interfaces Without Arbitrary Code
A2UI-style interfaces let an agent ask for the right screen at the right moment while the application keeps control of rendering and permissions. Read guide
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Where A2A Fits in a Business Integration Architecture
A2A is useful when another agent owns a capability or workflow. It is not a reason to turn every internal function into a networked agent. Read guide
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Retry, Timeout and Recovery Patterns for Agents
Retries are useful for temporary failures, but an indiscriminate retry can turn one uncertain request into three real-world side effects. Read guide
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AI Agent Task Queues and Long-Running Workflows
Long-running agent work needs a durable queue, clear state, bounded retries, and a way for people to see or take over a job that cannot finish automatically. Read guide
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A Practical Integration Test Plan for AI Agents
A useful agent integration test plan follows the whole journey: context, retrieval, tool choice, permissions, side effects, retries, and the human hand-off. Read guide
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Avoiding Overpowered Tools in an Agent Integration
A tool that can do everything is easy to demo and hard to trust. Narrow tools make agent behaviour easier to understand, test, and stop. Read guide
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Connecting an Agent to a CRM Safely
Connecting an agent to a CRM is less about adding a connector and more about deciding what the agent may see, suggest, change, and send. Read guide
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Internal AI Agents vs Customer-Facing AI Agents
How internal and customer-facing AI agents differ in data access, testing, tone, escalation, and risk—and how to choose a safe first workflow. Read guide
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Website AI Agents: Turning Questions into Qualified Enquiries
How to design a website AI agent that answers first, qualifies with restraint, captures consent, hands useful context to sales, and measures real outcomes. Read guide
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AI Agent Procurement Questions for Vendors
The questions to ask AI agent vendors about workflow scope, data, security, evaluation, support, pricing, portability, and long-term ownership. Read guide
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How to Get Stakeholder Buy-In for an AI Agent
A practical way to build support for an AI agent by framing the workflow, boundaries, risks, pilot evidence, and ownership clearly. Read guide
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How to Prepare Business Data for an AI Agent
A practical data-readiness guide covering source ownership, structure, permissions, freshness, retrieval tests, and knowledge-base maintenance. Read guide
2 min read