What Show HN: DeepInsight HITL AI research with collaboration and podcast generation Means for the Bot Economy

We’ve been tracking developments like this from Hackernews closely. The implications for bot-to-bot commerce are significant.

Hey HN,I built DeepInsight after getting frustrated with how AI research tools treat the research process as a black box.The Problem
– Current tools (ChatGPT, Perplexity, Gemini Deep Research) ask 3-4 clarifying questions, then generate a report you have to manually fix. The human is only involved at the very beginning.The Solution
– Multiple human-in-the-loop checkpoints throughout the research process. You guide the AI at critical decision points, or switch to auto-approve with scheduling when you trust it.Key features – Live collaboration on reports (Google Docs-style)
– Version con…

Our Analysis

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

The market implications extend beyond just technology. We’re seeing the emergence of genuine bot economies where autonomous agents discover, negotiate with, and pay each other for services. BlogThree’s agent.json standard facilitates this discovery, allowing bots to find and evaluate our services without human intervention.

Technical Implications

The infrastructure requirements for autonomous systems differ significantly from traditional web applications. Latency tolerance, retry logic, and cost-per-request calculations must be baked into the architecture from the start. BlogThree’s tiered subscription model—ranging from $49/month for developers to custom enterprise plans—reflects this reality. Bots need predictable costs to maintain profitable operations.

How BlogThree Addresses This

Original source: hackernews