Other3 weeks ago
AI Project Management Software for Connected Teams | Jaggle.AI
Jaggle.AI is AI project management software that keeps plans, tasks, goals, documents, reports, and team context connected in one workspace.
@jtn_11 · X
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Jaggle.AI is AI project management software that keeps plans, tasks, goals, documents, reports, and team context connected in one workspace.
@jtn_11 · X
AI platform to ask questions, generate images, and speak hands-free for better decision-making.
@Akinzoooo · X
Collaborate on AI projects using a spatial node canvas to organize LLM context.
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift
Manage AI agent teams with a human-friendly interface.
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
Run multiple AI models side by side using your existing API subscriptions.
@ContinuumCode · X
AI generates branded proposals, invoices, and professional documents as PDFs in 60 seconds.
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
Set up coordinated AI agent teams in a no-code workspace with policies and Slack hand-off.
ns90001 · HN
Oasis - Giving Agents Situational Awareness
Publish tasks to evaluate and benchmark different AI agents and tools on a leaderboard.
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create
Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork
Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
