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Automating spreadsheet workflows with AI (Manaflow)
Lawrence Chen talks about Manaflow, a startup automating repetitive office work with AI agents
Athena Intelligence: Earning enterprises' trust with your AI product
Read interview with Ben Reilly, the founding platform engineer of Athena Intelligence, AI data analyst for enterprises.
Gumloop: Building AI workflow automation for enterprises
The founder of Gumloop shares their journey from AutoGPT wrapper to "Zapier on steroids".
ReactEval: Building LLM Benchmark for Frontend
James Murdza of GitWit shares how he built ReactEval to run benchmark tests for React code.
Building Open-Source Codebase Copilot with Code Execution Layer
Ted Spare of Rubric Labs discusses challenges he encountered while building AI-powered products.
Building tools for LLM agents with Flo Crivello - CEO at Lindy AI
Lindy is an AI assistant whose objective is to save users' time. ” We asked its creator, Flo Crivello, a few questions about building agents.
Sweep Founders Share Learnings from Building an AI Coding Assistant
We asked the Sweep founders for their view on the current agents' space, and the challenges they are working on to solve for the agents.
About deployment, evaluation, and testing of agents with Sully Omar, the CEO of Cognosys AI
We asked the founder of Cognosys, Sully Omar, about his experience with building a product for no-code users in the Agents space.
David Zhang from Aomni gives his view agents' reliability, debugging and orchestration
Aomni founder David Zhang discusses its users, recent challenges, and how AI agents are progressing on the journey toward reliability.
Discussing agents' tracing, observability, and debugging with Ismail Pelaseyed, the founder of Superagent
We talked with Ismail Pelaseyed, the founder of Superagent, about AI agents, their current challenges, and potential solutions.
We discussed the Agent Protocol with the community
We discussed current challenges faced by agents, e.g. their deployment, debugging in real time or tooling.
