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If you’re wiring GPT-5 into a product, this is the first doc you actually need. OpenAI is telling startups how not to crash on GPT-5. Perplexity just opened search like Google never would. Google admits devs use AI every day but still don’t trust it. And Figma turned design files into code for agents.
📌 In today’s Generative AI Newsletter:
OpenAI: GPT-5 guide for startups
Perplexity: API gives direct search access
Google: Devs use AI but doubt it
Figma: Agents now read design specs
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OpenAI Drops a Practical Guide for GPT-5 Builders
Image Credit: OpenAI
OpenAI has released a handbook aimed at the first wave of startups wiring GPT-5 into their products. Instead of glossy promises, it reads like field notes from those already knee-deep in migration issues, brittle prompts, and scaling headaches. The document lays out where teams stumble and how to avoid burning months of compute before the product even ships.
Inside the guide:
Migration: Move to the Responses API to unlock full reasoning, faster replies, and lower costs.
Prompting: Keep inputs lean, iterate often, and let the model refine its own instructions.
Control: Use reasoning summaries, state management, and long-context memory to steer outputs.
Pitfalls: Avoid mistakes made by the first wave of startups experimenting with GPT-5.
The document reads less like a marketing sheet and more like field notes from founders already battling the model’s complexity. For those staking their business on GPT-5, it serves as a survival kit: the difference between shipping a product and burning months of compute.
Perplexity Delivers the Search API Google Refused to Share
Image Credit: Perplexity
Perplexity just handed developers what Google never would: direct access to its search index. The new Search API lets builders query the web without being funneled through ads, offering a clean library of snippets designed for apps, agents, and experimental tools. What the API delivers:
Snippets, not dumps: Returns clean excerpts instead of whole documents.
Structured output: Built for integration into agents and apps.
Fresh index: Updates in real time rather than relying on stale caches.
Developer kit: Ships with an SDK and benchmarking tools.
Google kept its index locked to protect ads. Perplexity is handing it over and inviting developers to dig. The absurdity is that in 2025, real openness in search feels radical. It’s a move that turns search from a walled garden into raw material.
Google Finds 90% of Devs Now Use AI, Few Actually Trust It
Image Credit: Google
Google’s latest DORA report on AI-assisted software development reveals a tension at the heart of coding in 2025. Nearly 5,000 tech professionals were surveyed, and the numbers show mass adoption wrapped in skepticism.
Key findings from the survey:
Daily use: Developers now spend about two hours a day with assistants like Gemini, ChatGPT, or Copilot.
Low trust: 30% admit they trust outputs “a little” or “not at all.”
Productivity boost: 80% report efficiency gains, while 59% see improved code quality.
Google’s framework: A new DORA AI Capabilities Model offers seven practices for using assistants more responsibly.
AI tools are being treated like a flawed coworker. They work fast, make mistakes, and cannot be fully trusted, yet they are always part of the team. The paradox is that doubt has become the condition of use, not the barrier.
Figma Just Made Its Design Tools Accessible To AI Agents
Image Credit: Figma
Figma has expanded its Model Context Protocol (MCP) server, giving AI models direct access to the code inside a Figma Make file and turning design files into living blueprints instead of static mockups.
What’s new:
Remote server: Agents, browser models, and IDEs can now pull specs without tethered desktops.
Indexed code: Platforms like Cursor, Windsurf, or Anthropic can access exact details to rebuild apps.
Error reduction: Removes guesswork from screenshots and manual handoffs.
Future plans: Design Snapshot will restore Make outputs into layers, and prompt-driven editing is in testing.
By treating canvases as APIs, Figma is making the gap between prototypes and production almost invisible, but when every sketch behaves like code the risk is that design stops being exploratory and starts feeling like obligation.
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