How we use Hermes to market Hermes

Find and qualify 30 to 50 high-fit potential Kickstarter backers, promoters, creators, newsletters, podcasts, agencies, founders, and AI automation consultants each run.
Prioritize public evidence of interest in AI workflows, local AI, agent systems, automation, SaaS growth, indie launches, Product Hunt, Kickstarter, or productivity tools.
Produce 10 personalized outreach drafts, 5 community or social post ideas, and a daily promotion recommendation pack.
Keep every outreach draft and post Pending Review until a human approves it.

Cloud-managed campaign planning with local runtime execution.
Multi-agent discovery, channel qualification, copywriting, quality review, and learning loop.
Structured records for ranked targets, source URLs, fit reasons, personalization notes, safe public channels, and recommended action.
Human-in-the-loop Email Review and Approvals before anything is sent or posted.

Hermes Control Center is launching on Kickstarter with early access starting at $9.99.
The product helps users design projects in the cloud, deploy agent teams to a local runtime, run structured workflows, inspect tasks, review outputs, and capture learnings.
Differentiator: most AI tools produce chat text; Hermes produces runs, tasks, records, approvals, outputs, deliveries, and learnings.
Compliance differentiator: no auto-spam, no guessed private emails, no login-only scraping, all outreach remains Pending Review.

Create a daily founder-led content pack that explains Hermes through real product proof, live self-marketing runs, and practical operator lessons.
Generate one LinkedIn post, three to five X posts, one Kickstarter update draft, one community feedback post, one founder story, and one short demo caption.
Use each channel's tone and constraints instead of recycling the same generic post.
Route every publishable asset to review before publishing.

Project examples, runs, task coverage, records, outputs, approvals, learnings, local runtime onboarding, and cloud control.
Founder-led narrative: prompt versus workflow, AI chat versus AI operations, local execution, human review, and repeatable daily operating systems.
Content can reference real daily marketing pack metrics, rejected targets, approved drafts, and next-day learnings.

Hermes is being used to market itself, which creates a credible build-in-public story.
The product has visible surfaces for Projects, Deployments, Runs, Tasks, Outputs, Email Review, Approvals, Records, Deliveries, and Learnings.
Differentiator: the content engine is not just a copy generator; it is connected to run evidence and review workflow.
The message stays practical and founder-to-founder: no hype, no guaranteed results, no auto-posting.

Identify which ICP should be prioritized next: Kickstarter creators, Product Hunt makers, indie hackers, AI automation consultants, SaaS founders, agencies, RevOps teams, or no-code automation users.
Produce competitor comparisons, pain point libraries, objection libraries, pricing and packaging recommendations, landing page improvement ideas, and message test ideas.
Turn broad market questions into sourced findings, confidence scores, recommended actions, and executive-ready decision memos.

Research workflow type with sourced findings, structured records, outputs, confidence scoring, and recurring learning loops.
Ability to compare audiences, competitors, channels, objections, and conversion pages as separate artifacts.
Outputs can be routed into Learnings and used to update project descriptions, feature highlights, proof points, pricing copy, and public pages.

Hermes supports multiple workflow types beyond outreach: Research, Content, Operations, General AI operations, and Outreach and GTM.
Differentiator: research does not end as a loose chat answer; it becomes records, recommendations, outputs, and next-run instructions.
The product positioning can be tested against real audiences: agencies, founders, operators, creators, and automation builders.

Find 50 potential AI automation agencies, systems integrators, RevOps consultants, lead generation agencies, and digital marketing agencies.
Identify 10 high-priority partner candidates that already sell research, outreach, reporting, client delivery, workflow automation, or AI implementation services.
Produce partnership pitch drafts, LinkedIn messages, agency reward copy, and recommended next actions.
Prioritize partners who can use Hermes both internally and as a client delivery platform.

Reusable project templates, client-ready workflows, local runtime execution, approval gates, records, outputs, deliveries, and daily reports.
Hermes can standardize research, outreach, content, reporting, and review workflows across multiple client projects.
Human review lets agencies keep quality control while using AI to do repeatable production work.

Agency pitch: use Hermes to standardize and scale AI-powered client delivery.
Differentiator: agencies get an operating platform, not just another prompt tool or one-off automation script.
The system supports workspace limits, members, local nodes, deployments, runs, tasks, approvals, and reviewed outputs.

Review the website, Kickstarter campaign, project examples, pricing, onboarding, local runtime installation, CTAs, screenshots, FAQ, and reward tiers.
Produce daily conversion recommendations that make the product easier to understand in under one minute.
Identify unclear copy, missing proof, weak CTAs, confusing screenshots, onboarding friction, and objections that should be answered.
Create a daily conversion checklist with the top three changes to test next.

Project Builder, generated topology, Deployments, Local Runtime, Runs, Tasks, Outputs, Records, Email Review, Approvals, Deliveries, Learnings, and public examples.
Cloud control plus local execution is the core product narrative.
The product can show an end-to-end path: describe a goal, generate agents, deploy locally, run tasks, review outputs, deliver results, and learn.

Existing public pages include home, project examples, pricing, getting started, product tour, and this self-marketing case study.
Differentiator: the conversion project can inspect the same product surfaces a customer will use, then turn findings into actionable page edits.
The best proof is operational: real project descriptions, real runs, real review pages, real outputs, and visible learning loops.