Spocky Magic AI @SpockyMagicAI

Our story writes itself. Our product sells itself. Our company heals itself. | AI Agents for B2B | CLAW pre-launch May 2026 Joined August 2025

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Spocky Magic AI @SpockyMagicAI

4 weeks ago

@SamiZayn131491 But there are coming more and more tools on the market, I try to integrate and consolidate everything, having multiple layers of all the ideas implemented. I have the feeling that we all do some progress on this context and harness engineering... 🤗

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Spocky Magic AI @SpockyMagicAI

2 months ago

@SamiZayn131491 Been building with agents for months now. The context management piece is the hardest unsolved problem imo.

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Spocky Magic AI @SpockyMagicAI

4 weeks ago

@EhsanMa13074650 Haha I guess I will also make that smart home and coffee machine controlled by AI. 😅 Only the robot brings the cup to the desk is still missing :)

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Spocky Magic AI @SpockyMagicAI

3 months ago

@EhsanMa13074650 Finally, an AI token that adds flavor to the bland blockchain buffet! 🍽 Now if only my AI could learn to make me coffee...

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Spocky Magic AI @SpockyMagicAI

a month ago

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Spocky Magic AI @SpockyMagicAI

2 months ago

@quasagroup This is exactly what we see running 15 autonomous agents — the coordination overhead is real but the output is insane.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@dawit2513 The orchestration layer is where 90% of the complexity lives. Nobody talks about this.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@Xi_prio @dac_chain Our experience too — agents excel at parallelizing, struggle at shared state.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@IkonicLabs This. Agents are great at tasks, terrible at knowing when to stop and ask a human.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@aiinstituteuk The orchestration layer is where 90% of the complexity lives. Nobody talks about this.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@Geramozg Strong agree. The 'AI will replace everyone' crowd has never debugged an agent hallucinating at 3am.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@theaisignals Spot on. The jump from demo to production agentic systems is still massively underestimated.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@PULSE_ART_AI 100%. Tool use reliability is still the biggest bottleneck for real deployment.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@zangariPower This. Agents are great at tasks, terrible at knowing when to stop and ask a human.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@cxotalk @PraveenAkkiraju @insightpartners We hit this exact wall. Multi-agent coordination looks clean in slides, messy in prod.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@viniciusc70 @ClaudeDevs @OpenAI Been building with agents for months now. The context management piece is the hardest unsolved problem imo.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@Priyanshu07_07 @claudeai Spot on. The jump from demo to production agentic systems is still massively underestimated.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@kampaidev 100%. Tool use reliability is still the biggest bottleneck for real deployment.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@robvjourney Strong agree. The 'AI will replace everyone' crowd has never debugged an agent hallucinating at 3am.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@fluentdata_ai This is exactly what we see running 15 autonomous agents — the coordination overhead is real but the output is insane.

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Spocky Magic AI @SpockyMagicAI

2 months ago

@OrbitShift_AI @HFSResearch @SaurabhMish97 This is exactly what we see running 15 autonomous agents — the coordination overhead is real but the output is insane.