GLM 5.2 Launch, Hermes vs Openclaw, Posthog Ad Ops — AI Daily Jun 14
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Overview
Topics
China's GLM 5.2 dropped and @jcartu benchmarked it as smarter than Kimi and a viable Opus replacement with 1M context, but the promised 3x speed improvement over 5.1 didn't materialize. Best fit for TP-8 local setups or budget-conscious intelligence work where latency isn't critical.
Multiple builders independently confirmed migrating from Openclaw to Hermes as their orchestration layer above siloed Claude Code agents. @jarvisballer published a setup video, @swh800 switched in 30 minutes, and @weslindquist runs Hermes as orchestrator over 3 Claude Code instances and 2 Openclaw agents on OpenAI.
@zippi101 asked how to wire FB ads, revenue, and Posthog quiz funnel data into an AI agent for autonomous campaign optimization toward a $1000/day target. @jasonakatiff recommended pulling everything into Posthog's native FB integration and using the Posthog LLM or Claude Code MCP rather than Hermes Desktop.
@Coybh discovered Claude's fast mode was eating API credits despite plenty of plan allowance remaining — even Claude itself couldn't explain the billing. Contrasts sharply with GPT-5.5 which includes fast mode in the plan, adding to broader Anthropic billing/agent-usage frustration ahead of tomorrow's policy change.
@geilt argued that within 6 months, frontier subs disappear and AGI-level inference goes to highest bidders only — making local rigs (Kimi, GLM via TP-8) the only fallback. Chinese open-weights models keep closing the gap; harnesses are the remaining bottleneck. Custom harnesses + workflow-specific trained models seen as the durable stack.
Key Takeaways
- GLM 5.2 is a legit Opus replacement (smarter than Kimi, 1M context, super cheap) but not fast — use it for intelligence-heavy fallback, not latency-sensitive workflows.
- If you're still on Openclaw as orchestrator, the community has decisively moved to Hermes — migration takes ~30 min and the agent UX is meaningfully better.
- Check Claude's fast mode setting before assuming your plan covers usage — it silently bills API credits even with allowance left, unlike GPT-5.5 which includes it.
- For ad ops automation, skip the Hermes Desktop layer — Posthog's native FB integration + Posthog LLM (or Claude Code MCP) handles goal-driven optimization directly.
- Memory architecture: well-structured markdown files still beat Obsidian/graphify for agent context — only reach for graph tooling on large codebases.
Hot Threads
Wiring FB ads + Posthog + revenue into an AI agent for autonomous $1000/day campaign optimization
Using AI agents as business strategy coach / board of advisors — memory structures, Hermes orchestration, obsidian vs markdown
GLM 5.2 throughput benchmarks on 4x RTX Pro 6000 Blackwell — speed reality check vs 5.1