Here's what most people do: "Act as an expert marketing strategist and help me with my campaign." The LLM has no idea what kind of expert. B2B or B2C?
Digital or traditional?
Startup or enterprise?
Data-driven or creative-first? Garbage in → garbage out.
@godofprompt
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Specific roles matter: avoid vague expert prompts for LLMs
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Specific personas boost LLM output quality to 94%
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Telling an LLM to "act as an expert" is lazy and doesn't work. I tested 47 persona configurations across Claude, GPT-4, and Gemini. Generic personas = 60% quality
Specific personas = 94% quality Here's how to actually get expert-level outputs: -
LobeHub: multi-model, direct API, agent marketplace, 70k GitHub stars
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Claude Cowork: $200/month. One model. macOS only.
Manus: VM-based browsing. Slow. Unstable. Expensive. LobeHub:
→ Multi-model support (switch freely)
→ Direct API access (faster, more accurate)
→ Agent marketplace to discover and remix
→ 70k GitHub stars foundation More -
Remixing LobeHub agent to extract arXiv paper authors
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Stop searching and pasting prompts from all over the internet.
— God of Prompt (@godofprompt) 27 janvier 2026
LobeHub has an agent marketplace.
I found a People Search agent in the community, then leveled it up by remixing the prompt and swapping tools.
Now it:
→ Extracts all authors from an arXiv paper
→ Finds their… pic.twitter.com/XS5PeNVzyYStop searching and pasting prompts from all over the internet.
LobeHub has an agent marketplace. I found a People Search agent in the community, then leveled it up by remixing the prompt and swapping tools. Now it: → Extracts all authors from an arXiv paper
→ Finds their -
Build a Twitter growth pipeline with multi-agent system in 10 minutes
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Built a Twitter growth pipeline in 10 minutes:
→ Agent 1: monitors trends
→ Agent 2: researches sources
→ Agent 3: drafts threads
→ Agent 4: prepares posts Supervisor orchestrates. Agents work in parallel. Human approves before publish.
One instruction. Full content -
L3 and L4 Agent Levels: Hand-holding vs Supervisor Orchestration
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Nobody's explaining this:
— God of Prompt (@godofprompt) 27 janvier 2026
L3 (Manus, Cowork): Agent asks for guidance constantly. Heavy hand-holding. User maintains active role throughout.
L4 (LobeHub): Supervisor handles orchestration. Agents work in parallel. Human only approves output.
The Knight Institute literally… pic.twitter.com/DIC8sAuWnNNobody's explaining this: L3 (Manus, Cowork): Agent asks for guidance constantly. Heavy hand-holding. User maintains active role throughout. L4 (LobeHub): Supervisor handles orchestration. Agents work in parallel. Human only approves output. The Knight Institute literally
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Dedicated memory per agent: why context isolation matters
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Dedicated memory per agent instead of global memory that hallucinates.
— God of Prompt (@godofprompt) 27 janvier 2026
This is the detail most people will scroll past. It's also why most AI agents feel broken after 3 conversations.
LobeHub gets it: context isolation = actual usefulness. https://t.co/59oBVGL0pwDedicated memory per agent instead of global memory that hallucinates. This is the detail most people will scroll past. It's also why most AI agents feel broken after 3 conversations. LobeHub gets it: context isolation = actual usefulness.
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Now anyone can build n8n agents easily using Claude with this prompt
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Now anybody can build n8n agents easily using Claude with this prompt. loved it.
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Attention not fundamental; geometric evolution needed for hidden representations
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This isn't claiming attention is dead. But it proves attention isn't fundamental. "What one fundamentally needs is not attention itself, but a sufficiently expressive geometric evolution mechanism for hidden representations." The era of exploring geometric alternatives to
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What if intelligence needs no attention? Grassmann flows answer
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The philosophical shift is profound: Before: "How do we make attention cheaper/faster?" Now: "What if we don't need attention at all?" The real question: What's the minimal geometric structure needed for intelligence? Attention is ONE answer. Grassmann flows prove it's not