Gensee – Free AI Agent Optimization and Deployment
I'm the co-founder of GenseeAI (https://www.gensee.ai). We've recently launched the public beta of Gensee, an AI agent/workflow platform oriented for developers and small teams. Here’s what I’ve heard again and again: it's gotten much easier to build a proof-of-concept AI agent, but turning that prototype into a high-quality, scalable, and cost-effective product is still a massive chore, involving endless trial-and-error with prompts, models, tools, testing, analysis, etc. We built Gensee to automate that "last mile" from prototype to production. Here’s how it works: - You…
In plain words
Gensee is an AI agent and workflow platform for developers and small teams that automates the process of moving AI prototypes to production. Users upload their Python-based agent code via GitHub, Docker image, or zip file without requiring modifications, and Gensee handles optimization of prompts, model selection, tool integration, testing, and analysis. The platform aims to eliminate the time-consuming trial-and-error typically required to build scalable, cost-effective AI products from working prototypes.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I'm the co-founder of GenseeAI (https://www.gensee.ai). We've recently launched the public beta of Gensee, an AI agent/workflow platform oriented for developers and small teams. Here’s what I’ve heard again and again: it's gotten much easier to build a proof-of-concept AI agent, but turning that prototype into a high-quality, scalable, and cost-effective product is still a massive chore, involving endless trial-and-error with prompts, models, tools, testing, analysis, etc. We built Gensee to automate that "last mile" from prototype to production. Here’s how it works: - You provide the GitHub link to your project, a Docker image, or a Zipped package of your agent source to Gensee. They can be written in any framework or without a framework, as long as it’s in Python. No code modification or annotation needed. - We handle input/output identification, model/tool call identification, test case generation, metrics generation, testing, automated optimization, server provisioning, containerization, tool/model calling, and endpoint creation to get it live as an API. - You see detailed evaluation results with customized metrics and test cases, all fully automated. - We optimize your agent automatically to achieve better quality, cost, and/or latency. You can download our optimized agent code, all transparent. - You can choose any optimized or original agent configurations to serve. Simply copy the API endpoint to your frontend code calling the agent. To support fellow developers, we give every new user 500 free monthly credits, enough to cover one to two agent deployment, optimization, and initial model and tool usage costs. If your usage grows, it becomes a cost-efficient pay-as-you-go service that scales with you. We're still in beta and would love to get your feedback. Do you prefer no-code agent generation instead of source code uploading? Should Gensee also run your frontend and other code in addition to agents? Any other optimization goals you have? Any key missing features? Thanks for taking a look! Access Gensee: https://platform.gensee.ai
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, July 2025
the whole month →
Trickle - Magic Canvas ▲1,064The 1st Agentic Canvas for building apps visually with AI
AI · 2025 · trickle.so
- TB
Life & fun · 2025 · trytender.app
- TY
Today marks ten years, 3653 consecutive days, of running at least one mile every day under the USRSA rules [1]. To celebrate, I built an interactive dashboard that turns a decade of GPX files into charts you can explore. Running has truly changed my life: I've made lifelong friends, explored beautiful places, and more importantly invested into my own health and fitness, which I'm starting to see the positive benefits as I get older. The stack is pretty simple: a NextJS app, with a Postgres database to keep all my running data, and all the stats are pre-computed and cached in Redis, so I…
Dev tools · 2025 · nodaysoff.run
- DA
Made this website as an exercise in vibe-coding and GCP. It was posted about a few times around the internet, on sites like Morning Brew (https://www.morningbrew.com/issues/business-buzzkill), MetaFilter (https://www.metafilter.com/209703/Draw-A-Fish), boingboing.net, etc. I think it's cute! I built a basic CNN trained against penises and swastikas, and then anything that doesn't hit the 63% confidence score gets sent to a mod queue, a vibe-coded fish-tinder…
Dev tools · 2025 · drawafish.com