Articles tagged “tools”
47 articles
MCP Webhooks: Build Event-Driven Agents That React in Real Time
MCP's request-response model breaks when AI agents need to react to external events. Build event-driven agents today with stateless HTTP and webhooks.
AWS Just Gave Your Agent 15,000 Cloud Tools
The AWS MCP Server is now GA. One tool call reaches any of 15,000+ AWS APIs, sandboxed Python execution lets agents run multi-step operations, and Agent Skills replace heavyweight SOPs with on-demand guidance. Here's what changed and how to wire it.
Past 50 tools, function-calling accuracy falls off a cliff
Past 50 tools, function-calling accuracy falls off a cliff. Measure the curve on your own agent and recover accuracy with per-turn toolset scoping.
MCP tool description drift: the silent failure nobody alerts on
Edit an MCP tool description for clarity, lose 8% routing accuracy, and the eval suite stays green. How to detect, gate, and roll back the drift.
How to Build a Cart Recovery Agent (and When to Send Nothing)
Most cart-recovery flows are three discount emails. A real recovery agent decides why the customer left, picks the right channel, caps the discount to protect margin, and sometimes sends nothing at all. Here is how to build it.
Build a Returns Voice Agent That Can't Refund Itself Broke
Returns are 60% of peak ecommerce contact volume. Most voice agents will refund $4,000 on a prompt injection. Here's how to build one that physically can't.
How to Build a Healthcare Appointment Voice Agent (FHIR, 270/271, HIPAA)
Most voice AI tutorials stop after hello. The real build: identity verification, FHIR slots, 270/271 eligibility, A2P SMS, escalation, with HIPAA gates intact.
Building an AI Nurse Line Without Practicing Medicine
Health systems pay $20-30 per nurse-line call. AI is the obvious cost play, but every triage agent raises a malpractice question. Here's the safe architecture.
How to Build a Real Estate Showing Voice Agent (MLS, Lockboxes, TCPA)
Build a real estate voice agent that pulls live MLS data, parses showing instructions, books tours, and sends lockbox codes at the right time.
How to Build a Tier-1 Chat Agent That Resolves (Not Just Deflects)
Bots claim 40% deflection; re-contact data says half is fake. Build the architecture that cuts tickets: auth-gated KB, calibrated confidence, escalation with context.
How to Build an AI Voicemail Agent That Gets a Callback (AMD, TCPA)
Eighty percent of B2B calls hit voicemail. Most AI dialers get blocked. Here's the AMD plus synthesis plus inbound callback pipeline, with TCPA baked in.
When to Use a Supervisor, When to Let Agents Swarm
Supervisor burns 20-40% more tokens per run. Swarm hits a quality cliff past 8-10 handoffs. Start supervisor, graduate to swarm when latency bites.
7 FastMCP mistakes that break your agent in production
FastMCP servers that work locally often fail at scale. Seven common mistakes, from missing annotations to monolithic tool sets, and how to fix each one.
MCP Is Now Open Infrastructure: Build for What's Next
MCP was donated to the Linux Foundation and the AAIF just held its first summit. What does the protocol becoming open infrastructure mean for what you build on top of it?
Your MCP server is a monolith. Here's how to fix it
MCP servers dump every tool into the context window, burning tokens before your agent reasons. Four patterns to fix it: decompose, filter, gateway, facade.
The no-code ceiling: when agent builders hit production
Visual agent builders get you to 80% fast. The last 20%, telephony, monitoring, testing, and memory, requires infrastructure they never intended to provide.
Build the MCP + A2A agent protocol stack from scratch
Wire an MCP server to an A2A agent that delegates tasks and calls tools. TypeScript and Python examples, Streamable HTTP transport, Agent Cards, and auth.
MCP vs A2A: Tools Protocol, Agents Protocol, and Why You Need Both
MCP connects agents to tools. A2A connects agents to each other. Most developers confuse them. This guide breaks down both protocols with architecture diagrams, real code, and a decision framework for production systems.
Banks Trust AI With Transactions. Why Not Customer Calls?
How a mid-size bank deploys AI agents for customer service with identity verification, PCI compliance, fraud detection, and regulatory scorecards.
The Shopping Assistant That Outsells Your Best Sales Rep
How a $50M fashion retailer turned 15,000 SKUs and customer purchase history into an AI shopping assistant that outsells human sales reps.
The Insurance Agent That Never Misquotes a Policy
How regional insurers deploy AI agents that answer policy questions accurately, intake claims end-to-end, and produce the audit trail regulators demand.
The Auto Shop That Knows Your Car Better Than You Do
Build an AI phone agent for auto repair shops that answers calls, quotes brake jobs, remembers every vehicle, and sends maintenance reminders.
A Dental Receptionist That Works Nights and Weekends
Build an AI receptionist for dental clinics that answers insurance questions, books appointments, and captures after-hours leads. Five clients pay $1,500/month.
The HVAC Company That Never Misses a Call
Build an AI receptionist that answers HVAC calls 24/7, triages emergencies, and books appointments. Then sell it as a service for $400-500/mo per client.
The Real Estate Agent Who Qualified Leads While Sleeping
Build an AI lead qualifier for real estate agents. Respond in under 60 seconds, score by budget and timeline, match listings, and book showings automatically.
Build a Restaurant AI That Remembers Every Regular
Build an AI phone agent for a local restaurant that takes orders, answers menu questions, and remembers regulars. A developer side hustle worth $400/month per client.
50 Tools, Zero Memory. The Biggest Gap in AI Agents Today
AI agents can call 50 APIs but can't remember what you said yesterday. The tool layer is years ahead of the memory layer, and customers are paying the price.
From Keyword Search to Shopping Memory
Build the intelligence layer for an AI shopping assistant: semantic product search with Commerce MCP, customer memory that persists across visits, and MCP tool registration for multi-channel deployment.
Why AI Shopping Still Feels Like a Search Bar
Most AI shopping assistants return walls of text. Learn how ChatKit widgets and Vercel AI SDK structured output turn AI recommendations into interactive product cards with images, prices, and add-to-cart buttons.
What to Trace When Your AI Agent Hits Production
OpenTelemetry GenAI conventions are the production standard for agent tracing. What to instrument, what to skip, and what breaks — from a 2 AM debugging war story.
Fine-Tune a 7B Model for $1,500 (Not $50,000)
Full fine-tuning costs $50K in H100s. QLoRA on an RTX 4090 costs $1,500. Learn how LoRA and QLoRA let you train only 0.1-1% of parameters with nearly identical results, with working code for fine-tuning models that understand your agent's tool schemas.
The Three Protocols Every AI Agent Will Speak
The AI agent protocol stack has three layers: MCP for tools, A2A for agent-to-agent communication, and WebMCP for browser interaction. A practitioner's guide to how they work together in production.
The Multi-Agent Pattern That Actually Works in Production
Gartner reports a 1,445% surge in multi-agent system inquiries. Here are the orchestration patterns that actually work when real customers call -- and why most teams pick the wrong one.
Your AI Agent Has No Guardrails
Air Canada honored a refund its chatbot hallucinated. DPD's bot cursed at customers on camera. One e-commerce agent approved $2.3M in unauthorized refunds at 2:47 AM. Here is the five-layer guardrail architecture that prevents all three.
Every Tool Is an Injection Surface
Prompt injection moved from chat to tool calls. Anthropic, OpenAI, and Arcjet shipped defenses in the same month. Here's what changed, what works, and what your agent architecture needs now.
Your AI Agent Costs $13K/Month. Here's the Fix.
A production customer-service agent burned $13,247 in one month. Prompt caching, model routing, batch processing, and plan-and-execute architecture cut it to $1,100. Real pricing math for every technique.
Why Browser Agents Waste 89% of Their Tokens
Browser agents burn 1,500-2,000 tokens per screenshot. Chrome 146's navigator.modelContext API lets websites expose structured tools instead, cutting token usage by 89% and raising task accuracy to 98%. Here's how WebMCP works.
MCP Is Now the Industry Standard for AI Agent Integrations. Here's What That Means
MCP standardizes how AI agents connect to tools and data, replacing fragile, proprietary integrations with a universal protocol. Here's what it means for your agents.
Your Voice Agent Forgets Everything. Here's How to Fix That
How to add persistent memory, tools, and knowledge to Pipecat and LiveKit voice agents using the Chanl Python SDK — one SDK instead of assembling five services.
Your agent has 30 tools and no idea when to use them
MCP tools give agents external capabilities. Skills give agents behavioral expertise. Learn the architecture of both, build them in TypeScript, and understand when to use each — and when you need both.
AI Agent Tools: MCP, OpenAPI, and Tool Management That Actually Scales
How production AI agents discover, execute, and manage tools — from MCP protocol to OpenAPI auto-importing, security sandboxing, and multi-tenant tool infrastructure.
Build your own AI agent tool system — what breaks when you add the 20th tool?
Build a complete tool system for customer-facing AI agents from scratch — registry, execution, auth, monitoring. Then learn what breaks when real customers start calling.
MCP Deep Dive: Advanced Patterns for Agent Tool Integration
Production MCP patterns for teams who've built their first server and need to scale it — OAuth 2.1 with PKCE, Streamable HTTP transport, gateways, sampling, dynamic tool registration, and multi-tenant security.
MCP Explained: Build Your First MCP Server in TypeScript and Python
Build a working MCP server from scratch in TypeScript and Python. Hands-on tutorial covering tools, resources, transports, and testing.
Your Voice AI Platform Is Only Half the Stack
VAPI, Retell, and Bland handle voice orchestration. Memory, testing, prompt versioning, and tool integration? That's all on you. Here's what to build next.
The MCP Marketplace Problem: Why Standardized Integrations Need Standardized Testing
5,800+ MCP servers, 43% with injection flaws. Standardized protocol doesn't mean standardized quality. Why every MCP integration needs automated testing.
The Tool Explosion: Managing 50+ Agent Tools Without Losing Your Mind
As agents get more capable, tool sprawl becomes a real operational problem. Here's how to organize, test, and monitor function calling at scale before it breaks in production.
The Signal Briefing
One email a week. How leading CS, revenue, and AI teams are turning conversations into decisions. Benchmarks, playbooks, and what's working in production.
