Launching today

Lentive

Launching today

Turn AI agent work into human understanding and judgment

3 followers

Turn AI agent work into human understanding and judgment

3 followers

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Knowledge base software

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Code Review Tools

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AI Workflow Automation

AI agents can ship work faster than humans can stay oriented. Lentive follows work across coding agents and GitHub, identifies what still deserves your attention, and edits it into a finite Daily Book for understanding, judgment, and retained capability. It separates what is worth seeing, when it is relevant, and how it should be presented—without turning learning into another inbox or engagement feed.

Free

Launch tags:Productivity•Developer Tools•Artificial Intelligence

Launch Team

LM-Kit OneThe Private AI Application Server

Promoted

OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Astra changed Lentive most through its writing and synthesis quality. Earlier versions could identify important work and comprehension gaps, but the output still felt like summaries or dashboards. Astra could read fragmented work across Codex, Claude Code, GitHub, and capability history, then synthesize it into concise, coherent Daily Book pages — preserving the underlying evidence while choosing the right framing, level of detail, and presentation for each idea. That made us raise the ambition from “track what AI agents did” to “edit AI work into something a human would actually want to read, understand, and think about.” Astra made Lentive feel less like analytics and more like a private editor.

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7h ago

Maker

📌

Hey Product Hunt — I built Lentive because coding agents were making me faster and more tired at the same time. They could execute more and more of my work, but after a day of handing off tasks, reviewing diffs, switching contexts, and accepting good-looking answers, I sometimes realized I had shipped more without necessarily understanding more. Lentive is my attempt to fix that. It sits above tools like Codex, Claude Code, and GitHub, follows what actually happened, and asks a different question: What still deserves the human’s attention? It then turns that into a finite Daily Book — short briefs, cases, decisions, or explanations that fit the work already in your head. One principle became especially important while building it: reading and engagement signals may change how something is presented, but they should not decide whether something deserves your attention or what capability you should retain. For this launch, GPT-6 Astra acts as the review and editorial layer: understanding what the agents did, what the human already demonstrated, and what is still worth keeping in the loop. The goal is simple: Let the agents move fast without rushing the human out of understanding. Slow down to go faster. I’d especially love to hear from people who use coding agents heavily: what do you most often realize you no longer fully understand after letting AI do more of the work?

Report

7h ago

OpenAI

GPT-6 Astra Challenge

How did Astra change the scope or ambition of what you built?

Maker

Report

7h ago

Maker

📌

Report

7h ago