Hermes Agent + DeepSeek V4.1 Flash is an ACTUAL GAME CHANGER!😱
Julian Goldie SEOJulian Goldie SEOKey takeaways
Hermes Agent with DeepSeek V4.1 Flash produced a polished landing page in under 10 minutes and outperformed the video’s Claude Code comparison on visual polish; the reported test also found about 98% lower API cost than Claude Opus for the same builds. These results are limited to the creator’s tests, not a general guarantee.
Hermes provides persistent memory, saved skills, background operation, and switchable model profiles, while DeepSeek V4.1 Flash’s reported agentic-coding score rose from 54.4 to 74.2 and its context window exceeds one million tokens. The Agent OS roadmap pairs installation and a first build with background workflows, then expands into automation, lead generation, and content workflows.
Video Flow
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DeepSeek Flash benchmarks and coding gains
DeepSeek V4.1 Flash is reported to score 90.6 on Terminal Bench 2.1, above the cited Opus 5 and GPT 5.6 Soul scores of 89.1 and 88.8. Its DeepSeek WEE agentic-coding score rises from 54.4 on the earlier V4 Flash to 74.2, while a full app build averaged 14 minutes in the creator’s testing.
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Hermes Agent and the custom Agent OS
Hermes Agent runs as a background process with persistent memory and skills it saves while working; profiles let the operator switch the underlying model without rebuilding the setup. DeepSeek lists Hermes as a recommended agent harness in its API documentation.
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Landing-page build and model comparisons
A single prompt with Hermes and DeepSeek V4.1 Flash produced a working AI Profit Boardroom landing page in under 10 minutes, with a revised layout, key features, moving background elements, and improved spacing. In the same-task comparison, Claude Code with V4.1 Flash was described as solid but flatter, while Hermes with the older V4 Flash timed out; the reported token cost for three builds was about 98% below the equivalent Claude Opus API cost.
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Agent OS roadmap and membership materials
The 30-day roadmap begins with installing the Agent OS zip and configuring a profile, then moves to a first landing-page or lead-magnet build and a background workflow before expanding into automation, lead generation, and content workflows. The membership includes the configured setup, tutorials, weekly coaching calls, an agent-workflow prompt library, and a member map.
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Model capacity and open-agent outlook
DeepSeek V4.1 Flash is reported to support a context window above one million tokens, a 384,000-token output limit, and native vision for building from a screenshot. DeepSeek V4.1 Pro remains unreleased, so the predicted narrowing of the gap between open and closed models is pending.
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AI Success Lab notes and prompts
The free AI Success Lab is the destination for the episode’s notes, SOPs, prompts, and step-by-step breakdowns, alongside a community of people using AI automation in their businesses.
Tools & Resources
The model is credited with the reported benchmark scores, coding gains, and app-build test.
Benchmark used for the cited model scores.
- 01Benchmark used for the cited model scores.00:29
Model included in the Terminal Bench 2.1 comparison.
- 01Model included in the Terminal Bench 2.1 comparison.00:29
Model included in the Terminal Bench 2.1 comparison.
- 01Model included in the Terminal Bench 2.1 comparison.00:29
Earlier model used as the baseline for the agentic-coding score comparison.
Agent harness used in the custom Agent OS, with background operation, memory, saved skills, and switchable model profiles.
Documentation listing Hermes as a recommended agent harness.
- 01Documentation listing Hermes as a recommended agent harness.02:34
Model profile shown as an alternative that can be selected in the Agent OS.
- 01Model profile shown as an alternative that can be selected in the Agent OS.02:23
Alternative selectable model profile named in the Agent OS.
- 01Alternative selectable model profile named in the Agent OS.02:27
Alternative selectable model profile named in the Agent OS.
- 01Alternative selectable model profile named in the Agent OS.02:27
Prompt requesting a compelling landing page for the AI Profit Boardroom.
- 01Prompt requesting a compelling landing page for the AI Profit Boardroom.02:49
Coding tool compared with Hermes on the same landing-page task.
- 01Coding tool compared with Hermes on the same landing-page task.03:12
Membership offering the Agent OS roadmap, configured setup, tutorials, coaching, prompts, and member map.
- 01Membership offering the Agent OS roadmap, configured setup, tutorials, coaching, prompts, and member map.03:33
Downloadable setup package used to install the Agent OS and configure a first profile.
- 01Downloadable setup package used to install the Agent OS and configure a first profile.03:43
Roadmap progressing from installation and a first build to background workflows and broader business automation.
- 01Roadmap progressing from installation and a first build to background workflows and broader business automation.03:37
Model whose API rates served as the cost comparison for identical builds.
- 01Model whose API rates served as the cost comparison for identical builds.05:08
Prompt collection intended to support agent workflows without starting from scratch.
- 01Prompt collection intended to support agent workflows without starting from scratch.06:52
Unreleased model mentioned as a possible future development.
- 01Unreleased model mentioned as a possible future development.05:41
Free community where the episode notes, SOPs, prompts, and step-by-step breakdowns are available.
- 01Free community where the episode notes, SOPs, prompts, and step-by-step breakdowns are available.07:21