AI Developmentr/artificial

I built a 3D brain that watches AI agents think in real-time (free & gives your agents memory, shared memory audit trail and decision analysis)

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Why I picked this

the repo for this is kinda cool - https://github.com/RyjoxTechnologies/Octopoda-OS

ai-agent-observabilityai-agent-memoryai-cost-controldeveloper-tools

“Loop detection was only the 5th most requested feature, but it's the one that actually saves real money. One user saved $200 in runaway GPT-4 calls in a single afternoon.”

Key takeaways

  • Agent memory persistence is the #1 pain point (38%) for multi-agent systems, followed by debugging complexity (24%)
  • Loop detection prevents runaway costs - one case saved $200 in a single afternoon from stuck GPT-4 calls
  • Visual observability (3D graph showing agent activity, memory operations, and inter-agent communication) addresses debugging complexity that affects 24% of users
  • Gap between requested features and actual value: loop detection was 5th most requested but delivers highest ROI through cost prevention
  • Multi-agent systems need shared memory infrastructure - agents reading each other's knowledge is critical for coordination

Why this matters for operators: Companies building multi-agent systems need observability/cost control

I cover AI×GTM intelligence like this every Wednesday.

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Personal Productivity & AI-Augmented WorkAxiosVictor's pick

Exclusive: Office workers embrace OpenAI's Codex

Productivity and brain tax so real

  • AI coding agents are rapidly expanding beyond developers - knowledge workers now represent 20% of OpenAI Codex users and growing 3x faster than technical users, with 4M weekly actives (5x growth since February)
  • The mental cost of AI supervision is emerging as a critical adoption barrier - power users report 'AI psychosis' and cognitive exhaustion from managing multiple fast-moving AI workstreams, creating a new type of workplace stress distinct from traditional productivity fatigue
  • Agentic AI is creating a workplace artifact integration layer - tools like Codex connect email, calendar, docs, Slack/Teams to surface context across siloed systems, with 60% of users now running concurrent AI tasks (up from <50% in April), signaling shift from single-task automation to orchestration workflows
ai-coding-toolsautomation-stacksai-writing-workflows
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AI×GTMGTM AI Podcast & Newsletter

6/2/26: Inside Perplexity's Revops, 3 AI Skills Replacing Admins

  • Perplexity's RevOps leader is replacing hiring decisions with AI agent builds - 3 skills built in 2 months that run autonomously
  • Voice of Customer automation: Daily-refreshing dashboard using Momentum.io + Salesforce that auto-tags calls, surfaces themes, generates product recommendations, and creates marketing sizzle reels without human intervention
  • Contrarian thesis: The RevOps scaling playbook is shifting from 'hire specialists' to 'build agents' - credible signal from operator who scaled Ramp and now Perplexity
ai-sdr-adoptionautomation-stacksrevenue-platform-consolidation
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This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.