Project examples

See what your AI operations team can actually do

Hermes is not limited to outreach. Start with a business objective, generate an agent topology, deploy it to a local runtime, and watch specialized tasks produce records, outputs, approvals, and delivery-ready work.

Five workflow examples. One operating model. Real pages, records, tasks, and outcomes.

Create a Hermes project from a business workflow description Deploy the project to a local Hermes runtime and run it Inspect run tasks, outputs, and status in Hermes Control Center
Operating model

Every project follows the same productized path

01

Create project

Paste a real business goal, choose the workflow type, and let Hermes preserve the project brief as the source of truth.

02

Generate blueprint

Hermes creates supervisors, specialist workers, reviewers, prompts, schedules, artifact contracts, and quality gates.

03

Deploy locally

Publish the workflow from the cloud control center to a paired LocalConnector and Hermes runtime you control.

04

Run and inspect

Watch tasks move through Queued, In Progress, Completed, Failed, or Cancelled states while records and outputs are created.

05

Review and deliver

Use Outputs, Approvals, Records, Email Review, Deliveries, and Learnings to turn AI work into approved business outcomes.

Workflow catalog

Choose the example closest to your work

Outreach and GTM

Kickstarter backer discovery and creator outreach

Use Hermes as a campaign promotion team that researches high-fit backers, creators, communities, and partners, then prepares reviewable outreach instead of sending generic blasts.

Business outcome A ranked pipeline of high-fit targets, public channels, personalized drafts, review notes, and daily campaign actions.

Create project with this description

Create a Kickstarter promotion project for Hermes Control Center.
Find high-fit early backers, AI automation creators, SaaS founders, agencies, newsletters, podcasts, and communities in the United States and Canada.
Score each target by relevance, public evidence, audience fit, safe contact channel, and likelihood to share or back the campaign.
Produce personalized email, LinkedIn, X, newsletter, podcast, and community post drafts.
Include the campaign link naturally, mention early access when appropriate, and keep every draft Pending Review until a human approves it.

Where the work appears

Runs Monitor target discovery, contact discovery, copywriting, review, and daily summary tasks.
Records View qualified targets, source evidence, personalization signals, compliance notes, and rejected reasons.
Outreach Leads Inspect ranked people, companies, creators, communities, and partners with fit scores.
Outreach Contacts Review safe public contact channels and confidence notes.
Email Review Approve, reject, or revise outbound drafts before anything is sent.
Outputs and Deliveries Find community posts, creator pitches, promotion plans, and delivery-ready campaign assets.
Create

Choose Outreach and GTM, paste the campaign brief, add target audiences, product highlights, proof points, geographic focus, and compliance rules.

Deploy

Deploy to the active local node so discovery, scoring, and copywriting run through the paired LocalConnector.

Run

Click Run now or use the daily schedule. The run creates discovery, channel, copywriting, review, and summary tasks.

Finish

Review drafts, approve the best ones, send only approved outreach, and use learnings to improve the next run.

Run task plan

What the run creates

Campaign Supervisor

Coordinate daily promotion mission

Break the campaign goal into discovery, channel, copy, review, and reporting work.

Output: Daily mission plan and top priorities.
Prospect Researcher

Find and score backers/promoters

Search public sources for relevant founders, creators, agencies, newsletters, podcasts, and communities.

Output: Qualified targets with fit scores and source URLs.
Channel Discovery Agent

Find safe contact routes

Identify public emails, forms, profiles, and community participation paths without guessing private data.

Output: Contact channels with confidence and risk notes.
Outreach Copywriter

Write conversion-oriented drafts

Use target evidence plus product positioning to produce specific, respectful outreach.

Output: Pending Review email, LinkedIn, X, creator, and community drafts.
Quality Reviewer

Protect brand and compliance

Reject generic, spammy, unsupported, or risky drafts before approval.

Output: Review decisions, revision notes, and approved assets.
Create an outreach operations project
Create project Start with a detailed campaign brief instead of a one-line prompt.
Run results with task coverage
Run inspector Watch every specialist task and inspect what each one produced.
Learnings and deliveries pages
Review and deliver Approve outputs, deliver safe assets, and feed learnings back into the next run.

How the operator reaches the final goal

Open Email Review for outbound drafts, Outputs for creator and community assets, Outreach Leads for ranked targets, Outreach Contacts for safe channels, and Learnings for next-day targeting improvements.

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Research and intelligence

Competitive intelligence brief for a new market

Use Hermes as a research analyst team that turns broad questions into sourced findings, ranked competitors, open questions, and an executive-ready decision memo.

Business outcome A sourced market map, competitor profiles, confidence-scored findings, and a decision memo your team can act on.

Create project with this description

Create a research intelligence project for a B2B SaaS company evaluating expansion into Canadian SMB accounting automation.
Research competitors, buyer pains, pricing patterns, integration expectations, content gaps, community discussions, and partnership opportunities.
Capture source URLs, confidence levels, risks, and open questions.
Produce a concise executive brief, ranked recommendations, and a next-research plan.
Separate evidence from inference and mark unsupported claims clearly.

Where the work appears

Runs Track source discovery, competitor profiling, synthesis, and evidence review tasks.
Records Review findings, entity profiles, source notes, open questions, risks, and confidence levels.
Outputs Open research briefs, decision memos, ranked recommendations, and next-step plans.
Approvals Approve decision memos or request changes before leadership uses them.
Learnings Capture better search queries, source patterns, and rejected assumptions for the next research pass.
Create

Choose Research and intelligence, define the decision question, target market, source quality rules, and what a useful final memo must answer.

Deploy

Deploy the blueprint to a node with access to the local runtime and any allowed research tools or source files.

Run

Run manually for a one-time study or schedule recurring monitoring. Tasks collect sources, extract findings, synthesize patterns, and review evidence.

Finish

Use the final brief to choose market priorities, assign follow-up research, and approve recommendations.

Run task plan

What the run creates

Research Supervisor

Frame the decision question

Convert the brief into research questions, source priorities, and acceptance criteria.

Output: Research plan and task assignments.
Source Researcher

Collect evidence

Find public sources, summarize credibility, and capture limitations.

Output: Source notes and evidence records.
Competitor Analyst

Profile market players

Compare positioning, features, pricing signals, audiences, and go-to-market patterns.

Output: Entity profiles and competitor comparison.
Analysis Synthesizer

Turn evidence into insight

Cluster findings, identify implications, score opportunities, and name unknowns.

Output: Ranked recommendations and open questions.
Evidence Reviewer

Check quality

Validate source trail, confidence, unsupported claims, and missing context.

Output: Reviewed decision memo ready for approval.
Generated research agent topology
Blueprint Specialist researchers and reviewers are created from the business question.
Artifact contract for research records
Artifacts The workflow expects findings, source notes, profiles, and decision memos.
Research run task coverage
Run output Each task leaves traceable output instead of a hidden chat transcript.

How the operator reaches the final goal

Open Records to audit evidence, Outputs for the executive brief, Approvals to accept the memo, and Learnings to schedule the next intelligence cycle.

Start this kind of project
Internal operations

Weekly customer onboarding risk review

Use Hermes as an operations coordinator that reviews active work, identifies blockers, prepares action items, and packages sensitive decisions for approval.

Business outcome A weekly operating packet with blockers, owners, risks, action items, handoff notes, and approval-ready decisions.

Create project with this description

Create a weekly customer onboarding operations project.
Review the onboarding pipeline, identify accounts at risk, summarize blockers, propose owners, draft action items, and prepare escalation notes.
Generate a concise status summary for the leadership team and a handoff note for customer success.
Mark any customer-facing or escalation-sensitive action as Pending Review.
Keep outputs practical, owner-oriented, and usable in the next team meeting.

Where the work appears

Runs Watch risk triage, blocker review, action planning, runbook drafting, and approval review tasks.
Records Review work items, blockers, decisions, risks, owners, priority, and due dates.
Outputs Open status summaries, handoff notes, runbooks, and approval packets.
Approvals Review escalation notes, customer-facing updates, and sensitive operational recommendations.
Learnings Capture recurring blockers and process improvements for future runs.
Create

Choose Internal operations, define the operating cadence, owner rules, risk criteria, and what should require approval.

Deploy

Deploy after connecting the local runtime to the operating context or source documents your team allows it to inspect.

Run

Run before the weekly meeting. The system creates risk review, blocker triage, action planning, runbook, and approval packet tasks.

Finish

Use the packet in the meeting, approve escalation notes, and turn action items into follow-up work.

Run task plan

What the run creates

Operations Supervisor

Own the operating cadence

Assign workstream reviews, consolidate status, and enforce approval-sensitive rules.

Output: Weekly operating plan and summary.
Workstream Operator

Inspect the work queue

Identify stalled items, missing inputs, owner gaps, and high-risk accounts.

Output: Work items, blockers, and risks.
Action Planner

Create next steps

Turn blockers into owner-specific actions with priority and acceptance criteria.

Output: Action items and handoff notes.
Runbook Writer

Make the process repeatable

Document checklists, escalation paths, and handoff patterns.

Output: Runbook and SOP updates.
Approval Reviewer

Review sensitive decisions

Check escalation language, customer-facing risks, and decision readiness.

Output: Approval packet and review notes.
Deploy and run internal operations workflow
Deploy and run Publish the operational workflow to a local node and start a meeting-ready run.
Internal operations task coverage
Task coverage Inspect every blocker, risk, action, and approval task.
Delivery and learning loop for operations
Improve Feed recurring blockers and process improvements back into the operating system.

How the operator reaches the final goal

Open Outputs for the status packet, Records for blockers and owners, Approvals for sensitive actions, and Learnings to improve the next weekly run.

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Content and campaigns

Founder-led launch content engine

Use Hermes as a content operations team that researches audience pains, creates angles, drafts channel-specific assets, and keeps publishable content in review.

Business outcome A campaign package with audience insights, content briefs, post drafts, channel variants, editorial risks, and a reviewable calendar.

Create project with this description

Create a founder-led launch content project for a new AI operations platform.
Research the audience of SaaS founders, operators, agencies, AI builders, and productivity tool users.
Create content angles around workflow automation, local execution, approvals, research, outreach, and real business outcomes.
Draft LinkedIn posts, X posts, community posts, newsletter copy, founder story posts, and demo CTAs.
Keep every publishable asset Pending Review and flag unsupported claims or tone risks.

Where the work appears

Runs Track audience research, angle creation, asset drafting, editing, and final campaign packaging tasks.
Records Review audience insights, content angles, channel findings, and editorial risks.
Outputs Open content briefs, post drafts, campaign packages, and editorial calendars.
Approvals Approve or request changes before publishing assets.
Deliveries Route approved social posts, newsletter snippets, and campaign assets to the next publishing step.
Learnings Capture which angles, channels, and CTAs should be tested next.
Create

Choose Content and campaigns, provide audience segments, product positioning, proof points, forbidden claims, channels, and desired publishing cadence.

Deploy

Deploy to the local node so research, drafting, channel adaptation, and editorial review run as one workflow.

Run

Run daily during the launch window. Tasks generate audience insights, content angles, drafts, variants, and editorial review notes.

Finish

Approve publishable drafts, route final assets, and use learnings to improve hooks and channels.

Run task plan

What the run creates

Content Supervisor

Own the campaign mission

Break the launch into audience, angle, asset, review, and delivery work.

Output: Daily campaign plan.
Audience Researcher

Find pains and motivations

Identify objections, desired outcomes, channel context, and buyer language.

Output: Audience insights and channel findings.
Campaign Strategist

Create angles

Turn audience evidence and product strengths into campaign narratives.

Output: Content angles and brief outlines.
Asset Writer

Draft channel-specific copy

Write posts, newsletters, demo CTAs, community posts, and founder notes.

Output: Reviewable post drafts and campaign package.
Editor and Brand Reviewer

Raise quality

Check clarity, claims, voice, specificity, and channel fit.

Output: Approved drafts or change requests.
Content project blueprint with agents
Blueprint A content system gets workers for audience, strategy, writing, and review.
Content campaign run tasks
Run Every draft is tied to the task and agent that created it.
Content deliveries and learnings
Deliver Approved assets can move to delivery while learnings improve the next run.

How the operator reaches the final goal

Open Outputs for briefs and drafts, Approvals for publish-ready content, Deliveries for final assets, and Learnings for the next content iteration.

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General AI operations

Executive AI operations command center

Use Hermes for mixed workflows that combine research, planning, decision support, content, approvals, and delivery without forcing everything into an outreach template.

Business outcome A custom operating system for the business process you describe: records, work products, recommendations, tasks, reviews, and learning loops.

Create project with this description

Create an AI operations command project for the executive team.
Each run should inspect the current strategic objective, break it into specialist tasks, gather findings, create decision inputs, propose action items, produce a concise operator brief, and flag anything that needs human approval.
Do not assume this is an outreach project unless the brief explicitly asks for outreach.
Match records and outputs to the objective, keep recommendations grounded, and create follow-up tasks when more work is required.

Where the work appears

Runs Inspect supervisor coordination, specialist tasks, review tasks, and follow-up work.
Records View findings, action items, decision inputs, risks, opportunities, and objective-specific records.
Outputs Open briefs, work products, recommendations, tables, checklists, memos, or plans.
Approvals Review sensitive recommendations and decision inputs before execution.
Learnings Capture patterns that should change future topology, prompts, or quality gates.
Create

Choose General AI operations for custom or mixed workflows, then describe the operating goal, acceptance criteria, output format, and review rules.

Deploy

Deploy once the topology looks right. The supervisor and specialist agents will follow the brief rather than a fixed GTM schema.

Run

Run on demand or on schedule. The run creates coordination, specialist, review, synthesis, and follow-up tasks based on the project objective.

Finish

Use Records, Outputs, Approvals, Runs, and Learnings as the command layer for ongoing AI-assisted business execution.

Run task plan

What the run creates

Mission Supervisor

Translate the brief into work

Read the objective, create the operating plan, and assign specialist tasks.

Output: Mission plan and task graph.
Specialist Worker

Do domain-specific work

Research, analyze, draft, compare, summarize, or operationalize the exact brief.

Output: Findings, work products, and action items.
Synthesis Agent

Connect the pieces

Combine task outputs into a concise business deliverable.

Output: Brief, recommendation, or decision input.
Quality Reviewer

Check usefulness

Review evidence, completeness, risks, and whether the output is ready for use.

Output: Review notes and approval packet.
Learning Agent

Improve the next run

Identify missing context, better tasks, recurring issues, and prompt improvements.

Output: Learning notes and follow-up recommendations.
General workflow artifact contracts
Artifact contract Records and outputs adapt to the project brief.
General operations run task coverage
Run inspector Track supervisor and specialist work in one place.
General operations output review
Operate Use outputs, approvals, deliveries, and learnings as the workflow matures.

How the operator reaches the final goal

Open Runs to inspect execution, Records for reusable operational memory, Outputs for business deliverables, Approvals for human decisions, and Learnings to tune the workflow over time.

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