146 articles published
Enterprise AI
AI agents are moving beyond basic scheduling to handle caption generation, hashtag research, performance analysis, and multi-platform coordination — here's what's actually useful and what's still overhyped.
24 July 2026
Agent Design
How to build a customer support AI agent that resolves Tier-1 tickets autonomously, detects when to escalate, and writes back to your CRM — without frustrating customers or creating support debt.
24 July 2026
AI Platforms
At WAIC 2026, Alibaba unveiled Agent Native Cloud — a rethink of cloud infrastructure designed ground-up for multi-agent workloads. Here's what it means for enterprise teams building production agentic systems.
23 July 2026
Workflow Automation
n8n 2.0 brought native LangChain integration and a proper AI agent builder to one of the most popular self-hosted automation platforms. Here's a practical look at what it means for teams building AI workflows.
23 July 2026
Healthcare AI
How agentic AI systems are being deployed across NHS trusts to handle appointment scheduling, referral triage, discharge summaries, and clinical coding — and what the real productivity gains look like.
22 July 2026
Agent Architecture
Production AI agents fail in ways that simple try/catch blocks can't handle — tool timeouts, partial tool results, context window saturation, and cascading LLM errors. This guide covers the retry strategies, fallback chains, circuit breakers, and checkpoint patterns that keep agentic workflows running when things go wrong.
21 July 2026
AI Infrastructure
The Agent2Agent (A2A) protocol is an open standard that lets AI agents built on different frameworks discover each other, delegate tasks, and coordinate work across organisations. Here's how it works and how to use it.
21 July 2026
Framework Reviews
Microsoft merged AutoGen and Semantic Kernel into a single unified agent framework in April 2026. Here's what changed, what stayed, and whether you should migrate.
21 July 2026
AI Productivity
Email agents have moved well past suggested replies. The useful ones in 2026 triage, draft, trigger workflows, and know when to hand back to you — here's how to set one up that actually helps.
20 July 2026
Use Cases
AI agents are changing the economics of legal research, document review, and case preparation. But they come with real limitations and professional conduct questions that UK solicitors need to understand before deploying them.
19 July 2026
Analytics & BI
AI agents that translate plain English questions into SQL queries are reshaping how non-technical teams interact with business data. Here's how the best implementations work, where they still fall short, and how to evaluate them for your stack.
19 July 2026
AI Automation
Company wikis are full of outdated information nobody trusts. AI agents are offering a different model — dynamically maintained, searchable, and connected to the systems where work actually happens. Here's how teams are making it work.
18 July 2026
Use Cases
Supply chain management is one of the highest-ROI areas for AI agent deployment in 2026. From demand forecasting agents that update buying decisions in real time to procurement bots that handle supplier communication, here's what's working.
18 July 2026
Agent Use Cases
Recruitment involves a lot of structured, repeatable work that AI agents handle well — and some human judgement where automation creates problems. Here's how to think about deploying agents in a hiring workflow.
17 July 2026
LLM Orchestration
The Anthropic Message Batches API lets you submit up to 10,000 Claude requests in a single batch at up to 50% lower cost than the synchronous API. Here's how to use it for agent workflows that process large volumes of similar tasks.
17 July 2026
Production & Deployment
How to architect AI agent systems that serve multiple customers from a shared infrastructure without data leakage, prompt bleed, or runaway costs — the isolation patterns that actually work in production.
17 July 2026
Tool Reviews
Burr is an open-source Python framework from DAGWorks for building LLM applications as explicit state machines — actions that transform application state, persistence hooks, and a built-in UI for tracing and debugging agent execution.
16 July 2026
Tools & Frameworks
Hatchet is an open-source durable task queue built on Postgres that gives AI agent pipelines step-level persistence, automatic retries, fan-out, and concurrency controls — without managing Redis, Celery, or a separate queue infrastructure.
16 July 2026
Platform Integrations
Slack has become a primary interface for AI agents in enterprise settings. Here's how to build them properly — from Bolt SDK basics to agentic workflows that don't frustrate your team.
15 July 2026
Tools & Platforms
Composio gives AI agents native access to GitHub, Slack, Notion, Google Drive, and hundreds of other tools through a single SDK — with managed auth, rate limiting, and action filtering baked in.
14 July 2026
Enterprise AI
Vertex AI Agent Builder lets you deploy production AI agents on Google Cloud with native Gemini models, grounding, tools, and multi-agent orchestration. Here's what it offers and how it compares to building your own agent stack.
14 July 2026
Enterprise AI
Agentforce lets Salesforce customers deploy AI agents across sales, service, and marketing workflows without leaving the platform. Here's how it works, what it can actually do in 2026, and whether it makes sense over building your own.
14 July 2026
Agent Use Cases
AI agents can now handle large chunks of the marketing workflow autonomously — writing briefs, drafting copy, pulling performance metrics from ad platforms via API, and flagging what needs human attention. Here's how to build one that actually fits into how a marketing team works.
12 July 2026
Tools & Integrations
Anthropic's Files API lets you upload documents once and reference them across multiple agent calls by file ID. For agents working with reports, contracts, or knowledge bases, this reduces token usage and latency on repeat calls — without a vector database.
12 July 2026
Tools & Libraries
browser-use is a Python library that connects AI agents to a real Playwright-controlled browser, letting them navigate pages, click buttons, fill forms, and extract data just by reading what's on screen. Here's how it works and how to build with it.
12 July 2026
Use Cases
A practical walkthrough for building an autonomous competitive intelligence agent that monitors competitors, summarises pricing changes, and flags product updates using LLMs and web search tools.
12 July 2026
Agent Frameworks
AWS open-sourced Strands Agents in May 2026 — a lightweight Python framework for building AI agents that works with Bedrock, Anthropic, OpenAI, and most other LLM providers. Here's what it does well and where it fits alongside LangGraph and CrewAI.
10 July 2026
Agent Frameworks
Griptape is an open-source Python framework for AI agents that prioritises structure, predictability, and built-in content moderation over flexibility. Here's what makes it different and when it's the right choice.
10 July 2026
AI Development
Instructor is a Python library that patches OpenAI-compatible clients to return validated Pydantic models instead of raw text. This guide covers how it works, common patterns, and how it compares to native structured output APIs.
10 July 2026
AI Agent Tools
Perplexity's Sonar API gives your AI agents real-time web search with citations built in. Here's how to integrate it into research workflows, compare it to native LLM browsing, and decide when it's the right tool.
10 July 2026
Multi-Agent Systems
CAMEL is an open-source multi-agent framework that uses role-playing between AI agents to tackle complex tasks autonomously. Here's how it works, when to use it, and how to get started in 2026.
9 July 2026
Frameworks & Libraries
LlamaIndex Workflows provide a structured, event-driven architecture for multi-step agent pipelines with explicit state management, typed events, and async-native execution — filling the gap between raw agent loops and full orchestration frameworks.
9 July 2026
Frameworks & Orchestration
DSPy from Stanford replaces manually written prompts with compiled, optimised programs. Instead of tuning prompt strings by hand, you define the task signature and let DSPy's optimisers find the most effective prompting strategy using your examples and a metric. Here's how to use it in production.
8 July 2026
Automation
Support ticket volume is climbing while headcount budgets aren't. AI agents can handle a substantial portion of Tier-1 queries — but the architecture choices matter a lot. Here's what's working in 2026.
7 July 2026
Guides
Learn how to build an autonomous competitive intelligence agent that monitors competitors, tracks pricing changes, and surfaces strategic insights using AI agents, MCP web search tools, and scheduled workflows. Practical guide with Python code examples.
7 July 2026
Tools & Platforms
OpenHands (formerly OpenDevin) is a self-hostable AI agent that can write code, run tests, browse documentation, and open pull requests — now scoring 68.4% on SWE-bench Verified. Here's how to integrate it into your development workflow.
7 July 2026
AI Tools
AI contract review tools are getting better fast, but there's a big gap between what they market and what they actually deliver. Here's a realistic look at capabilities, limitations, and where they genuinely save time.
6 July 2026
Patterns
Single LLM calls produce confident-sounding answers regardless of correctness. Multi-agent debate — having agents argue positions and critique each other — measurably improves accuracy, catches errors, and surfaces assumptions. Here's how to implement it in LangGraph, CrewAI, and the OpenAI Agents SDK.
5 July 2026
Standards & Protocols
AG-UI is an open protocol that defines how AI agents stream state, events, and messages to frontend applications — solving the last-mile problem of agentic AI integration without custom WebSocket hacks.
4 July 2026
Development
AG-UI is an open protocol for streaming structured agent events — tool calls, state updates, and messages — from any backend AI agent to any frontend. Here's how it works and why it matters for building responsive agent UIs.
4 July 2026
Agent Use Cases
AI agents are moving from monitoring dashboards into the remediation loop — correlating alerts, drafting runbooks, and executing fixes autonomously. Here's what AIOps looks like in production in 2026 and where the automation boundaries should be.
4 July 2026
Cost Optimisation
Prompt caching lets you avoid paying to re-process the same system prompt, tools, and context on every agent call. Here's how to use it effectively with Anthropic and OpenAI.
4 July 2026
MCP
MCP started as a localhost protocol, but the real value for teams is remote deployment — shared tool servers that any agent in your organisation can reach. Here's how remote MCP works and how to deploy it.
3 July 2026
Workflow Automation
Windmill gives you durable, versioned, observable workflow execution without the vendor lock-in of Temporal or the cost of managed services — and it's increasingly being used as the backbone for production AI agent pipelines.
3 July 2026
Use Cases
The most effective customer support AI deployments in 2026 aren't trying to replace human agents — they're handling triage, routing, and first-response automatically while keeping humans in the loop for anything complex.
2 July 2026
Frameworks & Tools
Microsoft's open-source Conductor CLI lets you define multi-agent workflows in YAML with deterministic routing — no orchestrator LLM required, zero tokens spent on coordination logic.
2 July 2026
Automation
Email and calendar agents have gone from novelty to genuinely useful — if you know which workflows to automate and which to leave alone. Here's what's working in 2026.
1 July 2026
Infrastructure
Serverless platforms offer a practical path to deploying AI agents without managing infrastructure — but cold starts, execution limits, and stateless constraints require different architectural patterns than traditional hosting. Here's how to navigate them.
1 July 2026
Use Cases
How finance and accounting teams are deploying AI agents to handle invoice processing, expense reconciliation, and financial reporting — and what to watch out for before you automate anything that touches money.
30 June 2026
Tutorials
A practical guide to building a lead research agent that automatically gathers company information, decision-maker context, and recent news — feeding your CRM with enriched prospect data.
29 June 2026
Tools & Integrations
Exa's neural search API finds the web's most relevant content using meaning rather than keyword matching. Here's how it compares to traditional search APIs, when it wins, and how to integrate it into your AI agent research pipelines in 2026.
29 June 2026
Tools & Integrations
Mem0 is a production-ready memory layer for AI agents that persists context across sessions, integrates with LangChain, LangGraph, and CrewAI, and dramatically cuts the latency and token cost of memory lookups.
29 June 2026
RAG Pipelines
Choosing a vector database for RAG or agent memory is a real architectural decision. Here's what separates Qdrant, Weaviate, Chroma, pgvector, and Pinecone — with benchmark numbers and honest trade-offs.
28 June 2026
AI Security
AI agents aren't users and they aren't service accounts. Traditional IAM doesn't fit them well, and the permission gaps create real security risks. Here's how to think about identity and access for autonomous AI systems.
27 June 2026
Agent Security & Governance
NeMo Guardrails is NVIDIA's open-source framework for adding programmable safety, topic controls, and fact-checking to AI agents in production. Here's how it works and when to use it.
27 June 2026
Development
How to stream tokens, tool results, and agent progress back to users in real time — covering SSE, WebSockets, and practical patterns for building responsive AI agent interfaces.
27 June 2026
LLM Infrastructure
Portkey is an open-source AI gateway that sits between your application and LLM providers. It adds reliability features — fallbacks, retries, load balancing — and full observability across every model call. This guide covers how it works and when to use it.
26 June 2026
Production AI
Deploying AI agents to production requires more care than deploying stateless APIs. This guide covers canary testing, blue/green deployments, shadow mode, and rollback patterns specific to agentic systems where failures compound across multi-step workflows.
25 June 2026
AI Agents
LiveKit Agents is a Python framework for building production voice AI applications. This guide covers the STT-LLM-TTS pipeline, interruption handling, and deploying your first voice agent.
25 June 2026
Tools
OpenRouter acts as a unified API gateway across 200+ AI models, letting you route requests to the cheapest, fastest, or most capable provider without rewriting your agent code.
24 June 2026
Orchestration
Prefect 3 brings durable execution, parallel task scheduling, and rich observability to AI agent workflows. This guide covers flows, tasks, work pools, and concurrency patterns for production agent pipelines.
24 June 2026
Infrastructure
Cloudflare AI Gateway sits between your AI agent and every LLM API call — logging, caching, rate limiting, and routing without changing your code. Here's how it works and when it's worth adding to your stack.
23 June 2026
Tools
CrewAI is a Python framework for orchestrating multiple AI agents into a crew with defined roles, goals, and task delegation. Here's how it works, where it fits, and how to build your first multi-agent pipeline.
23 June 2026
Tools
Pipecat is an open-source Python framework for building real-time voice AI pipelines — handle transcription, LLM reasoning, and text-to-speech in a single composable chain you host yourself.
23 June 2026
Production & Deployment
Production AI agents can burn through API budgets in minutes if left unchecked. Here's how to implement rate limiting, cost caps, and throttling patterns that keep agents reliable without surprises on your bill.
22 June 2026
AI Agents
Getting AI agents to talk to your existing APIs reliably is harder than it looks. Here's a practical breakdown of the five main integration patterns, when to use each, and what breaks in production.
22 June 2026
No-Code AI
Lindy lets you build AI assistants that handle meeting scheduling, email triage, customer support, and lead qualification without writing a single line of code.
21 June 2026
Tools & Integrations
Toolhouse.ai provides a hosted tool store built on the Model Context Protocol — so your agents get web search, code execution, email, and dozens of other capabilities without you running any MCP servers. Here's how it works and when it makes sense.
21 June 2026
Framework Reviews
Apple's Core AI framework, announced at WWDC 2026, lets developers run LLMs directly on Apple silicon with no server round-trips, no API fees, and no data leaving the device.
19 June 2026
Tools & Frameworks
deepset's Haystack framework gives Python developers a component-based pipeline system for RAG, semantic search, and conversational AI — with native integrations for every major vector store and LLM provider. Here's how it actually works in 2026.
19 June 2026
Tools & Frameworks
Inngest turns AI agent tasks into reliable, retryable, event-driven background jobs with step-level persistence, built-in queuing, and real-time streaming to the frontend — without Kafka, Redis workers, or managing your own queue infrastructure.
19 June 2026
Performance & Cost
Exact-match caching misses most repeated queries in real agent pipelines. Semantic caching uses vector similarity to serve cached responses for queries that mean the same thing — typically reducing LLM calls by 40–70% in production.
19 June 2026
Tools & Integrations
Model Context Protocol servers let you expose internal databases, APIs, and SaaS platforms to AI agents through a standardised interface. Here's how to build one and what the architecture looks like in practice.
18 June 2026
Infrastructure & Deployment
LiteLLM Proxy acts as a local gateway that routes LLM calls to 100+ models behind a consistent OpenAI-compatible API. Here's how to use it to simplify multi-provider agent architectures, reduce costs, and add observability without rewriting your agent code.
18 June 2026
Frameworks
Agno (formerly PhiData) lets you build multi-modal, multi-agent teams in pure Python. Here's what makes it different and when to choose it over LangChain or CrewAI.
17 June 2026
Tools & Integrations
Firecrawl converts messy web pages into clean, structured markdown that LLMs can actually use. Here's how to integrate it into your agent workflows and when it beats the alternatives.
17 June 2026
Enterprise AI
As AI agents move from experiments to production workflows, governance is the new bottleneck. Here's how teams are thinking about orchestration control planes, audit trails, and human-in-the-loop design.
16 June 2026
AI Dev Tools
Multi-agent systems are moving from experiments to production — but most teams deploy them without any real oversight model. Here's how to build trust, control, and accountability into multi-agent workflows before something goes wrong.
15 June 2026
LLM Orchestration
Stripe's official Agent Toolkit gives AI agents native access to payment operations — creating invoices, checking subscription status, issuing refunds — all through standardised MCP tools. Here's how to wire it into your agents and what to watch for in production.
15 June 2026
LLM Orchestration
Claude's extended thinking mode lets you allocate a token budget for internal reasoning before the model responds — and for certain agent tasks, it dramatically improves result quality. Here's how to wire it into your pipelines, when it's worth the cost, and when it isn't.
14 June 2026
Use Cases
How to build production-ready document processing agents that extract structured data from invoices, contracts, and forms, classify documents automatically, and route outputs to the right downstream systems.
13 June 2026
RAG Pipelines
Microsoft's GraphRAG extends retrieval-augmented generation by building knowledge graphs over document collections, enabling AI agents to answer questions that require connecting multiple documents — not just finding relevant chunks.
13 June 2026
Platforms & Tools
Amazon Bedrock Agents lets you build multi-step AI agents that call tools, query knowledge bases, and execute long-horizon tasks — all managed within AWS. Here's how it works and when to choose it.
12 June 2026
Developer Tools
Mastra is a TypeScript-native AI agent framework from the team behind Gatsby — opinionated about memory, workflows, and tool integration in ways that reduce the glue code you'd otherwise write yourself.
12 June 2026
Framework Reviews
OWASP's 2025 Top 10 for Agentic Applications identifies the risks that emerge specifically when AI systems take autonomous actions. Here's what each category means, with practical examples of how these go wrong in production.
12 June 2026
AI Platforms
Microsoft's Build 2026 conference put AI agents at the centre of Windows itself — with the Copilot Runtime, NLWeb, and on-device Phi models reshaping how developers build agentic apps.
11 June 2026
No-Code AI Tools
Microsoft Copilot Studio now lets enterprise teams build networks of specialised AI agents that collaborate on complex workflows — without writing a line of code. Here's how it works, what it can realistically automate, and when a custom-built alternative makes more sense.
11 June 2026
Agent Platforms
Microsoft Copilot Studio lets teams build agents without code; custom frameworks give full control. Here's a practical comparison of when to use each, covering capabilities, costs, limitations, and real-world tradeoffs for enterprise AI automation in 2026.
11 June 2026
Frameworks
OpenAI's Agents SDK moves beyond the Assistants API to give you a proper Python framework for multi-agent orchestration — with typed handoffs, guardrails, built-in tracing, and context passing between agents.
11 June 2026
LLM Optimisation
The traditional pattern of routing tasks between small, medium, and large models is giving way to a simpler and more effective approach: effort routing on a single model. Here's what that means for your agent architecture.
10 June 2026
Tools & Frameworks
Connecting AI agents to real apps — GitHub, Slack, Gmail, Salesforce, Linear — means solving OAuth flows, credential storage, rate limits, and pagination. Composio handles all of that so you can focus on what the agent actually does.
9 June 2026
Agent Frameworks
Letta is an open-source framework for building stateful AI agents with persistent memory — agents that remember previous conversations, update what they know about users, and manage their own context over time, across sessions.
9 June 2026
AI Agents
Semantic Kernel is Microsoft's open-source SDK for building AI agents and copilots in C#, Python, and Java. It handles plugin registration, memory integration, and multi-step planning — and it's the framework under the hood in Microsoft Copilot. Here's how it works and when it makes sense over LangChain, PydanticAI, or rolling your own.
7 June 2026
AI Frameworks
The Vercel AI SDK is now one of the most widely used frameworks for building AI applications in TypeScript — covering streaming responses, tool calling, structured outputs, and multi-step agents across any model provider. Here's what it does well, where it fits, and how to use it for agent workflows.
7 June 2026
Automation
Process mining has existed for years, but adding AI agents to the mix transforms it from a retrospective reporting tool into a live system that finds, recommends, and increasingly executes workflow improvements without waiting for a consultant to tell you what to do.
6 June 2026
Agent Development
AI agents fail in ways that are hard to reproduce and harder to diagnose. This guide covers the practical debugging approaches that actually work: distributed tracing, structured logging for tool calls, and systematic methods for understanding why your agent went off-script.
6 June 2026
AI Agents
Running AI agents on local hardware with Ollama and open-source models like Llama 3.3 and Qwen2.5 keeps your data private, eliminates API costs, and works offline. Here's how to build practical agent workflows that run entirely on your own machine.
6 June 2026
Agent Architecture
Polling loops waste compute and introduce latency. Webhook-driven agents wake on real events — a new Stripe payment, a GitHub PR, an inbound email — and execute immediately. This guide covers the architecture for event-triggered agent pipelines, how to handle webhook delivery guarantees, and patterns for keeping agents reliable when events arrive out of order or at scale.
6 June 2026
Architecture
Orchestration is replacing prompt engineering as the core AI skill. This guide breaks down the four production patterns — chaining, fan-out, routing, and hierarchical orchestration — and explains when to use each so you can build systems that actually hold up under real load.
5 June 2026
AI Development
OpenAI replaced its Assistants API with the Responses API in early 2025. If you're still on Assistants, here's what the new API offers, how the two compare, and whether you should migrate.
5 June 2026
Agent Design
Prompt engineering gets the attention, but context engineering — how you structure memory, state, instructions, and tool outputs across an agent's full context window — is what actually determines whether agents work reliably. Here's how to think about it systematically.
4 June 2026
Agent Frameworks
smolagents is Hugging Face's minimal agent framework that runs LLM-driven agents with Python code actions. It's deliberately simple — no graph DSLs, no YAML config, just Python functions as tools and a thin execution loop. Here's how it works and when it makes sense.
4 June 2026
Agent Frameworks
Mastra is a TypeScript-native framework for building AI agents and workflows with built-in tool calling, RAG pipelines, and observability — and it's gaining serious traction in 2026.
3 June 2026
Agent Development
Most AI agents forget everything between sessions. Mem0 and Zep are the two leading solutions for adding persistent, searchable memory to your agent workflows. Here's how they work and when to use each.
3 June 2026
Frameworks & Tools
PydanticAI brings Pydantic's structured validation approach to AI agent development. Here's why its type-safe design makes it a strong choice for production agent systems where hallucination-prone outputs are a real cost.
2 June 2026
Agent Architecture
Long-running AI agents degrade as their context fills. A practical guide to context window management strategies — summarisation, RAG retrieval, prompt caching, and memory hierarchies — for production agent workflows.
1 June 2026
Tools & Platforms
A practical comparison of Dify and Flowise — the two most widely deployed self-hosted low-code platforms for building AI agents and RAG pipelines in 2026.
1 June 2026
Protocols & Standards
The Model Context Protocol's 2026 stateless release candidate changes how AI agents connect to tools at scale. Here's what changed, why it matters, and how to update your integrations.
1 June 2026
Agent Infrastructure
When your AI agent needs to write and run code, where that code runs matters enormously — local execution is a security risk and cloud execution has latency and cost tradeoffs. Here's how the main sandboxing options compare.
31 May 2026
AI Agents
Most AI agent frameworks don't handle failures, retries, or long-running tasks gracefully. Temporal's durable execution model changes that. Here's how to use it and when it's worth the overhead.
30 May 2026
AI Agents
Voice AI agents are moving from demos to production — handling inbound support calls, outbound scheduling, and complex multi-turn phone conversations. Here's how Vapi, Bland AI, and Retell compare, and what a production voice agent architecture looks like.
30 May 2026
Agent Tools
A new generation of AI-native browser automation tools is making it possible to build agents that browse the web like a human -- filling forms, reading dynamic pages, and handling sites that would break a traditional scraper.
29 May 2026
Agent Design
Most AI agent failures happen when agents proceed autonomously through decisions that should have had a human check. Here's how to design interruption points, approval gates, and resumable workflows that keep agents reliable in production.
29 May 2026
Frameworks
Anthropic's Model Context Protocol has shifted from a niche Claude feature to a cross-platform standard for connecting AI agents to tools and data. Here's what it is, why it's catching on, and how to build with it.
28 May 2026
Guides
How to structure tool definitions, handle errors gracefully, and use parallel tool calls to build AI agents that fail less and cost less to run.
28 May 2026
Agent Development
Thinking models like Claude Sonnet with extended thinking, o3, and Gemini 2.5 Pro unlock deeper reasoning -- but using them everywhere burns cost and adds latency. Here's how to decide.
27 May 2026
Agent Development
Unstructured LLM responses break pipelines. Here's how to enforce typed, schema-validated output from your agents using JSON mode, function calling, and tools like Instructor and Pydantic AI.
27 May 2026
Compliance
The EU AI Act's high-risk provisions come into force on 2 August 2026. If your agent touches hiring, lending, insurance, or healthcare in the EU, you need audit trails, risk documentation, and human oversight mechanisms -- here's what that looks like in practice.
26 May 2026
Tooling
When your AI agent produces a wrong answer or runs up a $40 bill in one afternoon, you need to know why. A practical guide to adding observability to LangChain, LlamaIndex, and custom agent stacks using Langfuse.
26 May 2026
Testing
Building an AI agent is one thing -- knowing whether it actually works is another. Here's how to set up evaluations that catch real failures before your users do.
25 May 2026
Frameworks
LangGraph brings graph-based control flow to LLM applications, letting you build agents with real state management, human-in-the-loop checkpoints, and branching logic. Here's a practical guide to what it does and when to use it.
25 May 2026
Framework Reviews
A practical comparison of CrewAI and AutoGen for building multi-agent systems in 2026 -- architecture differences, role-based vs conversation-driven design, production readiness, and when to use each.
23 May 2026
Frameworks & Tools
Google's open-source Agent Development Kit gives Python developers a structured way to build, connect, and deploy multi-agent AI systems. Here's what it is, how it compares to LangChain and CrewAI, and when to use it.
23 May 2026
AI Agents
Google's A2A and the open Agent Communication Protocol are reshaping how multi-agent AI systems coordinate. Here's what you actually need to know.
22 May 2026
AI Agents
Computer use agents can operate your desktop, fill in forms, and navigate complex software without an API. Here's what they can actually do in 2026 and where they still fall short.
22 May 2026
Standards & Protocols
MCP has quietly become the standard for connecting AI agents to real-world tools. Here's what it is, how it works, and why UK teams should care.
21 May 2026
How-To Guides
A practical guide to Zapier AI Actions -- how to use AI in Zapier workflows, build email classifiers, extract data automatically, and know when it hits its limits.
18 May 2026
How-To Guides
A practical guide to AI workflow automation for ecommerce -- order processing, inventory alerts, customer support, product descriptions, abandoned cart sequences, and the tools to use.
11 May 2026
How-To Guides
A production-focused guide to prompt engineering for ai agents -- system prompt structure, tool-use prompting, chain-of-thought elicitation, and real fixes for the most common failure modes.
5 May 2026
How-To Guides
A practical guide to the OpenAI Assistants API -- setup, key features like code interpreter and function calling, pricing, and when to use it vs. custom frameworks.
28 April 2026
Framework Reviews
Pricing, workflow limits, AI features, and real automation scenarios -- tested side by side across all three platforms.
21 April 2026
How-To Guides
A practical guide to multimodal AI agents -- what multimodal means, vision and text agents, audio processing, real use cases, and GPT-4V vs Claude vs Gemini for vision tasks.
14 April 2026
Tool Reviews
An honest review of Microsoft Power Automate with AI Builder -- Copilot integration, document processing, M365 pricing advantages, and how it compares to Zapier and Make.
8 April 2026
Framework Reviews
A direct comparison of LangChain and LlamaIndex in 2026 -- use cases, architecture differences, RAG vs agent pipelines, production readiness, and which to pick.
1 April 2026
How-To Guides
A step-by-step guide to building a working AI agent -- from choosing your stack to deploying it. No hand-waving, no skipped steps.
25 March 2026
How-To Guides
A complete getting-started guide for the Claude API -- authentication, system prompts, key parameters, model selection, and pricing across Haiku, Sonnet, and Opus.
18 March 2026
How-To Guides
A practical guide to building a production RAG pipeline -- covering chunking strategies, embedding model selection, MMR and hybrid search retrieval, and evaluation metrics that actually matter.
12 March 2026
Tool Reviews
The AI automation tools that don't require a developer -- tested for ease of use, reliability, and value for small teams.
5 March 2026
Framework Reviews
We ran LangChain, LangGraph, CrewAI, AutoGen, and n8n through real production scenarios. Here's what actually survived contact with live data.
26 February 2026
Case Studies
The exact formula for calculating AI automation ROI -- with real case studies, worked examples, and the costs most calculators ignore.
19 February 2026
Framework Reviews
A direct comparison of AI agents and RPA -- key architectural differences, when RPA still wins, when AI agents are better, hybrid approaches, and how to think about migration.
13 February 2026
How-To Guides
A practical guide to testing AI agents -- why standard tests fall short, evaluation frameworks like LangSmith and PromptFoo, golden datasets, regression testing, and production monitoring.
6 February 2026
How-To Guides
A practical guide to AI agent security -- prompt injection prevention, credential handling, sandboxing tool calls, audit logging, and least-privilege principles for production agents.
30 January 2026
How-To Guides
A practical guide to ai agent memory management -- covering in-context, vector store, episodic and semantic memory types, with implementation advice for Mem0, ChromaDB and Pinecone.
23 January 2026
How-To Guides
Where costs really pile up in agent loops, and the practical techniques -- caching, model routing, prompt compression, batching -- that reliably reduce them.
17 January 2026
Framework Reviews
A practical look at agent orchestration patterns -- sequential, parallel, and hierarchical -- with real implementation examples in LangGraph and CrewAI.
10 January 2026