How to Build Voice Agents for Customer Support

Building AI voice agents doesn’t have to take days of developer time. Our prototyping platform reduces build time from hours to just one. In many cases, it empowers non-technical teams to test and refine voice agents themselves. Faster prototyping means faster trust, fewer risks and lower costs. Read how Solvd is helping companies move from idea to working prototype with confidence: https://hubs.la/Q03JRRJV0

Authoring Workflows in the Age of AI: - Three approaches to building durable workflows: AI-assisted code, diagram-to-workflow generation, and dynamic agentic workflows.  - Trade-offs between control vs. autonomy: code-first gives predictability; diagrams speed up prototyping; agentic models provide flexibility but introduce non-determinism.  - The importance of visibility/debugging at runtime to ensure reliability, traceability, and trust in AI-driven workflow paths.  A good read for platform engineers, architects, and dev leads interested in integrating AI into workflow orchestration, from Bilgin Ibryam. https://buff.ly/t02qv57

Tomorrow we launch. Production-ready AI applications that integrate with your existing business systems. No more rebuilding everything from scratch. Ready to stop wasting time on tools that promise everything and deliver prototypes?

Accelerate engineering by blending AI tools with proven habits: use automation for code comprehension, refactoring, and performance tuning; boost test coverage and velocity with smart prompts; and capture unfinished work to maintain flow. Structure requests well and leverage persistent context files to help AI deliver real impact. Use a Best-of-N approach to uncover optimal solutions. #SoftwareEngineering #AItools #Productivity #BestPractices

If you’re deploying GenAI into workflows or customer-facing applications, you’re making decisions live. And that means you need infrastructure that can: - Score each output - Route responses based on trust - Log exactly how decisions were made - Adapt when your data or schema shifts This isn’t something to add after launch. It’s something to build in from the start. Meibel is the runtime platform for teams who are making GenAI operational. It’s not another tool to wire up. It’s part of the system you rely on to make real-time decisions explainable and accountable. If you’re scaling AI into production, this is the layer you’ll need.

In a world increasingly driven by automation and AI, building a smart chatbot agent has never been more accessible — thanks to tools like n8n. This article will walk you through how to build an intelligent chatbot agent using n8n, a powerful workflow automation tool, without writing complex backend code.

🚀 AI Agent Development Essentials: Design Smarter Agents for Real-World Tasks Today Diving into AI agent development but unsure where to start for reliable, autonomous systems? Here’s a streamlined approach to building agents that adapt and execute tasks effectively—get hands-on with these steps now: 1 Define clear objectives and tools: Outline what your agent needs to accomplish, like data analysis or automation, and equip it with APIs or functions for actions—think of it as giving your agent a toolkit to interact with the world. 2 Incorporate reasoning loops: Use techniques like chain-of-thought prompting to enable step-by-step decision-making, allowing the agent to evaluate options, correct errors, and refine outputs mid-process. 3 Add evaluation metrics early: Set benchmarks for success, such as accuracy rates or task completion time, and iterate based on test runs to ensure scalability without overcomplicating the architecture. This foundation can turn basic scripts into powerful agents overnight. Try prototyping one for your workflow! What’s your biggest hurdle in AI agent dev? Let’s chat in the comments. #AIAgents #AIDevelopment #MachineLearning

Exciting to see Harness Field CTO Martin Reynolds featured in ITPro. He shared thoughts on how AI is changing the way we code, test, and deliver software — and why developers will always play a vital role. At Harness, we’re building the platform to help teams embrace this shift with speed, safety, and confidence. 📖 Read the full piece here: https://lnkd.in/gFG6UyeX

Exciting to see Harness Field CTO Martin Reynolds featured in ITPro. He shared thoughts on how AI is changing the way we code, test, and deliver software — and why developers will always play a vital role. At Harness, we’re building the platform to help teams embrace this shift with speed, safety, and confidence. 📖 Read the full piece here: https://lnkd.in/eArGTS5d

Exciting to see Harness Field CTO Martin Reynolds featured in ITPro. He shared thoughts on how AI is changing the way we code, test, and deliver software — and why developers will always play a vital role. At Harness, we’re building the platform to help teams embrace this shift with speed, safety, and confidence. 📖 Read the full piece here: https://lnkd.in/erC5NTMi