PromptLayer

Something is coming... Prompt Engineering 2025 ➡️ AGI

General purpose AI is hard to do. OpenAI and Anthropic have some of the worst prompts I've ever seen.

Just gave a prompt engineering workshop at Fractal Tech Sharing some of my favorite prompting strategies & tips. Swapping ideas. Where should we do it next?

Welcome to the PromptLayer studio 🍰✊

Domain experts are the future of AI development, not technical prompt engineers. https://lnkd.in/esX-udUK The secret to winning with AI isn't mastering machine learning - it's empowering subject matter experts who deeply understand their fields to shape AI systems. Forget complex prompt engineering research papers. Success comes from rapid iteration, clear problem definition, and domain expertise driving AI development.

These are ALL of the best-in-class tools every early-stage startup should be using: 💳 Finance Bank account: Mercury Payroll: Deel Credit card / expenses: Ramp Incorporation: doola Reporting: Equals SaaS financing: Gynger Taxes: Gelt 🌳 Fundraising CRM: Attio Deck: Gamma Cap table: Pulley 🖼️ Design & brand Interface design / whiteboard: Figma Landing pages: Framer Graphic design: Modyfi Swag: SwagUp Motion design: Jitter 🏗️ Operations & admin Wiki/notes/projects: Notion Team comms: Slack Video comms: Loom AI collaboration: Cove Meeting notes: Granola Recruiting: Ashby Forms: Tally Internal tool-building: Budibase Automation: Make 🎙️ Marketing & sales Personalized outreach: Clay Social media: Buffer AI revenue operations: Alta | AI Revenue Workforce Newsletter: beehiiv Outbound: SellScale Buying signals: Pocus Growth marketing: Roadway 🏗️ Technology & product Coding: Cursor AI: Anthropic Cloud: Vercel VectorDB: Pinecone Analytics: PostHog Email: Loops AI live chat: Rep.ai Database: Supabase Prompt engineering: PromptLayer Bug tracking: Jam.dev SMS: Twilio What other critical tools am I missing? __ follow me @Ben Lang for more posts founders/startup operators

Prompt engineering isn't dead - it's evolving into domain-driven AI development. https://lnkd.in/eQMmeMtY The future belongs to non-technical domain experts who can craft specialized, context-aware prompts. Modular prompting + domain expertise > technical complexity: empowering subject matter experts will define winning AI applications.

We're #hiring a new Front-End Product Engineer in Manhattan, New York. Apply today or share this post with your network.

If you are not getting the LLM outputs you want, that's a skill issue

Good prompt engineering is about one simple thing: Shorten the feedback loop. Iterate as quickly as possible.