... Early on we had a real fork. Build deep on one model (GPT-4o

... friendly once ad revenue dominates. Comment from Van Ho(@van_ho): Started as a non-profit to save humanity from AGI. Now: 'Trust us bro, ads will be our #1 revenue driver by 2030.' The pivot was faster than GPT-4o

... Nothing on the pricing page tells you this upfront. GPT-4 tiles a 1024 1024 image into ~765 tokens before it reads your prompt. Send 10 images in a conversation, and your "cheap" chat call isn't cheap anymore. GPT

... monthly subscription plans to Token Relay. If you need predictable AI API costs without managing multiple provider keys: Starter $9/mo 11,000 credits Pro $29/mo 40,000 credits Max $99/mo 140,000 credits All plans give you: 12+ models (GPT-4o

... available were either cloud-only, required deep ML expertise to operate, or weren't built for regulated industries. So we built what we needed. What makes it different: On-premise deployment: your data never leaves your infrastructure Model-agnostic: GPT-4o

... concept" and "actually running in the business" is where most projects go to die. Closing that gap became my thing. These days I spend most of my time working with teams on agent orchestration, multi-model setups (mixing GPT-4o

... SpecWise AI from scratch a tool that turns messy client feedback into clean, structured product specs instantly. Here's the full stack I vibed with: React + TypeScript + Vite frontend Supabase auth, database, RLS policies Vercel serverless deployment GitHub Models gpt-4o

... couldn't write a line of code. yesterday i shipped a live, paid product to swarmseller.com . what i've been working on: a no-code marketplace where creators wire up multiple AIs on a visual canvas (claude, gpt-4o

... adds up to about twenty percent of someone's week back which is the productivity gain that actually shows up in deliverables. Where it still falls down: the judgment calls. DSCR target for a merchant wind project versus a contracted solar one. Why a specific lender wants 18 months DSRA on this deal but six on that one. Those require live deal context that doesn't exist in training data. Comment from Nida E Zahra Zaidi(@nidaezahraaa): @busmark_w_nika ... ... marcelo_earth  That's also good  saving time :) Comment from Tereza Hurtov (@tereza_hurtova): @busmark_w_nika For me, the most innovative use isn't about productivity, but accessibility. Have you seen how Be My Eyes integrated GPT

... Full-time, contract, or freelance. Contact: maliikbrn100@gmail.com | linkedin.com/in/maliik-bryan | github.com/Maliik-B Thanks for putting these together every month, @fmerian , Great thread. Comment from Maliik(@maliikb): @fmerian  Thanks! And congrats on the Kilo Code v7 launch today. Rebuilding the VS Code extension on the same portable core as the CLI is a serious architectural move. The worktree-per-agent isolation is the kind of thing that only comes up as an issue once you've actually run parallel agents into ... ... paying customer this week. - VendorIQ - 6-agent contract analysis orchestrator (Claude Sonnet + Haiku, tool calling, structured outputs, human approval gate) submitted to Airia AI Agents Hackathon - CaseDrop - AI case intake pipeline for personal injury law firms. Police report PDF GPT

... bell rang at 9:30AM. I'm a builder, so I did what builders do I automated it. What I built: Nexus Intelligence Every weekday at 6AM, the system: Scrapes 15+ headlines from major financial outlets Runs everything through GPT-4o

... setup for the elderly user. Just call a number and talk. Here's how it works today for the elderly use case: The elderly user always initiates the call we never call them (no spam, no anxiety) Powered by GPT-4o

... launching Satcove tomorrow on Product Hunt a multi-AI consensus engine. The idea: stop trusting one AI blindly. Ask once, get answers from Claude, GPT-4o

... Buildability Score (0-100, A-F grade) - Zoning classification + what's allowed - ADU eligibility - Flood zone + environmental risk - Setbacks, lot coverage, height limits - 30-day action playbook 142 factors analyzed. 24 data sources. 3-model AI consensus (GPT-4o

... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors. Why give them free airtime? Wrong move. Every AI answer about your category includes comparisons. Always. If you don't provide the comparison, AI finds someone who does and that someone might be your competitor

... user sees it is underrated 30 days using it myself before showing anyone. Found things no user interview would have caught. Changed what I lead with entirely. Stack if anyone's curious: Next.js, Supabase edge functions, Whisper for transcription, GPT-4o

... agentready.cloud/v1/comp... ", headers={"Authorization": "Bearer ak_live_116e......"}, json={"messages": [{"role": "user", "content": your_text}]}) compressed = res.json()["messages"] # Step 2: Send to YOUR LLM with YOUR key client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) response = client.chat.completions.create(model="gpt-4o

... continuity across sessions. Multi-Provider, Shared Memory Both SDKs support OpenAI, Anthropic, and Google Gemini out of the box. The provider is auto-detected from the model name. Switch models freely memories are shared across all providers. // Learn with GPT-4o

... automatically applied // npm: @mnexium/sdk import { Mnexium } from "@mnexium/sdk"; const mnx = new Mnexium({ apiKey: process.env.MNX_KEY, openai: { apiKey: process.env.OPENAI_API_KEY }, }); const alice = mnx.subject("user_123"); const response = await alice.process({ content: "Remember that I prefer concise weekly summaries.", model: "gpt-4o

... requires zero signup. You can now use Mnexium without creating an account. Just make an API call with your own OpenAI or Anthropic key, and we auto-provision a trial key for you on the spot. await client.chat.completions.create({ model: "gpt-4o

... focuses on delivering human authenticity in communication, whilst still enhancing it with AI. I was previously at OpenAI as their first hire for the London office, and worked at Facebook for over a decade. I led researchers that trained GPT-4o

... output distribution. A lot of this feels like prompt overfitting -- similar to classic ML overfitting, but where prompts are implicitly tuned to a specific model version and don t generalise cleanly to the next one. When we upgraded from gpt-4o

... from marius ndini(@marius_ndini): @haiqa_irfan   Great question! Priority routing is on our roadmap as we add more providers & features. We're planning on smart routing options: Cost-based routing Route simple queries to cheaper models (GPT-4o

... monitoring Timeline: 2 4 weeks (plus ongoing maintenance) Cost: engineering time + infra + vector DB fees With @Mnexium AI , memory is built-in const client = new OpenAI({ baseURL: " https://mnexium.com/api/v1 ", defaultHeaders: { "x-openai-key": OPENAI_KEY } }); await client.chat.completions.create({ model: "gpt-4o

... comparison" Now compare 5 models side-by-side Today we're back with 2.0 and I built exactly what the community asked for. What it does: You enter your actual prompt + what a good answer looks like, pick models (GPT-4o