Emerging Edge Media — Agentic Workflow Dashboard

Every department, every agent, every workstream — what they're doing, what they're waiting on, and what it's costing. One screen, owned by you.
Opens from  Sage's dashboard  · button sits next to  Daily Brief  · Financials stay on Sage's dashboard — this is the operations view
Live
2026-11-09 17:59 PT
Refreshed hourly from the run table
Status design: change-events only
9
Business units on this board, plus the Agentic COO coordination layer
27
Agents & workers tracked, incl. Muse's subagents broken out individually
2
Decisions waiting on Derek (below)
1
Needs repair — a bounced query send (Shannon, Books unit)

The org chart

3 tiers + advisory layer · human checkpoint at every tier

Built on the pattern the research keeps landing on: a human owner, one orchestrator, coordinators who run the day-to-day, and narrow specialist workers. Not a flat swarm — the middle layer is the one people skip, and skipping it is what breaks multi-agent setups.

Tier 1 · Owner
Derek Rydall
CEO & final approver. Strategy, taste, and every consequential call.
Tier 2 · Operations
Stephanie Carlisle
COO. Business execution — GHL, ClickUp, launches, metrics, podcast booking handoffs. Owns the daily approval queue with Muse.
Tier 2 · Orchestrator
Muse
Integrator. Holds the master picture across business, personal and creative work; routes work to subagents; this dashboard is Muse's surface.
Tier 2 · Coordination layer
Agentic COO
The agent layer that runs the daily rhythm: sequences work across all nine units, triages the approval queue, keeps the unit-to-unit handoffs moving, and brings Derek and Stephanie only the decisions — never the noise. Distinct from Stephanie, the human COO, who owns execution and judgment.
Tier 3 · Specialist
Sage (ChatGPT)
Research & editorial; owns the books lane (QuickBooks + accountant liaison) and the ClickUp board — the team's shared source of truth.
Tier 3 · Specialist
Instinct
Personal logistics — pilot-first lane. Household items surface to Derek right away; status-only updates on household matters.
Tier 3 · Workers
Muse's subagents
Narrow workers spawned per task — research, sends, transcription, materials. Each one is broken out on its own card in the units below.
Advisory · To the owner
Business Coach
Consults to Derek like a seasoned business coach: best next decision on pricing, launches, partnerships and priorities — argued from evidence, not flattery. Works from Sage's knowledge base so advice fits the man, not just the market.
Advisory · Growth
Business Development
Finds and works the growth routes the units can't reach alone: partnerships, guest and ally pipelines, licensing and non-slush routes to agents and publishers. Hands qualified opportunities to the units to execute.
Advisory · Knowledge base
Sage — heart & soul database
The deep knowledge base on Derek: values, history, goals, voice, past decisions and why they were made. The Coach and Business Development consult it before advising, so counsel lands in context.
Galit — co-decider on personal, financial and health matters; deliberately not a task lane.  ·  Rule of thumb from the research: two agents need coordination, a third needs an explicit orchestration layer, five or more need the full three-tier structure. You're at that scale now — which is why this board exists.

Waiting on Derek

Approval queue · consequential actions only

Only real decisions land here — never routine work. Each item shows what will happen, and expires rather than executing by default.

Levine chapter-request reply Awaiting your OK

Levine chapter-request reply — Donovan Levine (Neighborhood Literary) asked for a few sample chapters Nov 9; draft reply to be shown to Derek before sending

Derek · since 2026-11-09

Takeout folder lock Awaiting your OK

Takeout folder lock — Derek taps the Drive approval card to unshare folder 1IDxQKLNulae-IbAPNYbcZCwt_QA3G26Q (card expires Nov 10 09:04 UTC); then verify owner-only + remove gpu-sprint monitor cron

Derek · since 2026-11-09

Business units

People + agents · live status · files · key numbers

Each unit shows its people and agents with their role, a one-line status, and spend for the workstream. Tap any agent to open its drill-down — the full run record lives there, not on the board. Muse's subagents are broken out individually, one card each, under the unit and project they serve.

data-detail="unit:core" tabindex="0" role="button"

CORE  Agentic COO — the coordination layer

Not a business unit — the layer that runs all of them. Sits between Muse (orchestrator) and the unit coordinators: runs the daily rhythm, triages what reaches Derek, and owns the handoffs in the connections map below.

9
Units coordinated
2
Items in Derek's queue
▸Agentic COOAgent · CoordinatorDesign — Phase 1Runs the daily operating rhythm across units; brings Derek and Stephanie decisions only, with the evidence attached.per day

Owns

  • Daily rhythm: morning priorities, end-of-day rollup into the brief
  • Approval-queue triage — consequential items up, routine work cleared under standing rules
  • Unit-to-unit handoffs: watches for a finished output that never got picked up downstream

Works with

  • Stephanie (human COO) — she owns execution and judgment; the Agentic COO owns sequencing and follow-through
  • Muse — escalates cross-unit conflicts and anything needing the master picture
  • Business Coach — receives the Coach's recommendations and turns accepted ones into unit work

Authority & guardrails

  • L2 inside the coordination layer: can re-sequence, nudge and reassign worker tasks, logged
  • Cannot approve consequential actions — those stay in Derek's queue, expiring by default
  • Reports on change only; a silent unit past its window gets flagged, not narrated
Files & links
Daily rhythm runs off the run table + the approval queue above; ClickUp remains the shared handoff log (Sage owns the board)
data-detail="unit:u01" tabindex="0" role="button"

01  Online Program Sales

Course and program revenue — launches, offers, enrollment. Stephanie runs execution; Sage's dashboard carries the financial snapshots for this unit.

—
Revenue baseline set in Phase 1
4
Agents tracked
▸Marketing & PromotionAgent role · CoordinatorQueuedThe promotion engine for the whole business: takes finished assets — a new book from the Self-Publishing Unit, an episode, an offer — and runs the launch push across email, social and partners.per launch

Receives

  • Finished books from the Self-Publishing Unit (Books) with a launch date
  • Anchor episodes from the YouTube Show; offers from Program Sales

Hands off

  • Campaign briefs + assets to Social Media Growth for distribution
  • Warm audiences to the Evergreen Funnel and List Health & Growth for conversion

Authority

  • L1–L3: drafts campaigns, prepares sends for approval; publishing stays human-gated
▸Stephanie CarlisleHuman · COOActiveRuns launches, GHL pipelines and metrics for program sales.human

Owns

  • GoHighLevel pipelines & campaigns
  • Launch calendar and metrics
  • Business execution end-to-end (never the novels)

Feeds this board

  • Launch status changes as they happen
  • Weekly async huddle summary

Authority

  • Second-in-command; owns the daily queue with Muse
▸Offer & Launch WorkerMuse subagent · MakerQueuedDrafts offer pages, launch emails and enrollment copy for review — never publishes on its own.Phase 1

Charter

  • Inputs: offer brief, price, dates
  • Outputs: drafts marked “ready for review”
  • Authority L1 — draft & recommend only

Done means

  • Draft delivered + source claims cited
  • Stephanie accepts or edits

Guardrails

  • No send/publish permission
  • Per-run budget cap; stops at limit
▸Sage — Books & BoardAgent · AnalystActiveKeeps the financial picture for sales on her own dashboard; owns ClickUp, the shared source of truth.separate dash

Scope note

  • Sage's consolidated financial reports go to Derek only — this board shows status, never her report contents
  • Her daily input to Muse is nonfinancial business/project status only

Handoff

  • Muse feeds Sage state changes directly; consolidated refresh every Friday
Files & links
Daily Brief Sage's financial dashboard (linked from the same hub)
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02  Coaching & Teaching

Private coaching, teaching sessions, and the Teaching Library — the written collection inside the Emerging Edge Media Asset Management System.

2,907
Assets in the Master Manual
1,927
Transcripts searchable
▸Session Prep WorkerMuse subagent · ResearcherActivePulls prior-session context and teaching material ahead of each coaching session (Nicole Mason #21 lands Tue Nov 10).per-session

Inputs

  • Calendar session + client name
  • Teaching Library search

Outputs

  • One-page prep brief with citations into the library

Authority

  • L0 — read & answer only; no client contact
▸Library IndexerMuse subagent · OperatorActiveFolds new transcripts into the searchable Master Manual as they arrive — incremental, no rebuilds.per batch

Status model

  • Reports on batch complete / blocked only
  • Manual live at emerging-edge-manual.pages.dev with full-text search

Known gap

  • BM25 + metadata search today; vector search is a later phase
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03  Community Building & Nurturing

The internal ascension journey — every lead nurtured toward know yourself / be yourself / live your true purpose. Owned community is the system of record.

—
Member baseline set in Phase 1
2
Agents tracked
▸Community Support DrafterMuse subagent · MakerPlannedWill draft answers to routine member questions from the Teaching Library; a human sends anything trust-sensitive.Phase 2

The trust test (from the research)

  • “If a member could tell this came from AI, would it cost you trust? If yes, a human does it.”
  • AI gets: welcome messages, FAQ drafts, moderation flags, renewal nudges
  • Humans keep: live calls, high-trust DMs, stay/leave conversations

Precedent

  • Creator-educator Seth David runs a single trained support agent (“Sandy”) on his courses/community while he does only the coaching — single agent, no published fleet metrics
▸Nurture Sequence WorkerMuse subagent · MakerPlannedWill draft nurture and win-back sequences; sends stay behind a human approval gate.Phase 2

Authority path

  • Starts L1 (draft only) → L3 (prepare sends for approval) only after evals pass on real cases
Files & links
Community platform + list live in GHL (Stephanie's lane)
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04  Books

Building books, publishing and promoting them, and querying agents. Current campaign: END PROGRAM, an upmarket speculative thriller (77,311 words) — plus a nonfiction book a year in the long-range plan.

82
Sends in the numbered sequence
50
Next wave being built to
3
Full manuscripts out & reading
▸Query SenderMuse subagent · OperatorActiveBuilding the full 50-send wave with tonight's corrected letter; referral-only and published-only gates no longer block (locked rule).per send

Latest state

  • #81 Bankoff + #82 Shannon went out with the pre-correction letter
  • Shannon's send bounced — never arrived; correct route being found for re-send in this batch
  • 13 ready now + reinstated names live-checked before sending

Locked rules it runs under

  • Lead-with-credits: referral-only / published-only gates never block
  • One agent per agency; successor gates honored
  • 17 form-route agents go one at a time, separately

Guardrails

  • Every send verified live at send time
  • Response emails are shown to Derek before anything is sent back
▸Inbox WatcherMuse subagent · ResearcherActiveCaught Levine's chapter request within minutes tonight; logged Guzzardo's pass (Keystone) with materials color.per event

Reports

  • Requests, passes (with what materials each agent received), bounces — as status changes, not a stream
  • Pass reporting always notes pages/chapters/full received, per Derek's rule

Now doing

  • Successor search at Keystone after the Guzzardo pass
▸Agent Research & VerifierMuse subagent · ResearcherActiveLive-verifies every agent's route, fit and window before a send; rechecks parked names when conditions change.per check

Latest QA

  • 43 checked → 15 sendable, 28 parked by reason (closed, unreachable, wrong fit, left agenting)
  • Stale-label rule: a “closed/blocked” label is a dated claim — re-verified live, never trusted

Held back

  • Feldman — site wouldn't load, needs a live check
  • Ruchti — Christian-market agency, wrong fit for this book
▸Materials BuilderMuse subagent · MakerQueuedBuilds per-agent extracts in manuscript format — next: 25 pages for Riven, 1-chapter and 1-page sets; title page always included, never counted.per file

Format rules

  • Times New Roman 12pt, double-spaced, 1-inch margins — matching the manuscript
  • Title page rides along on every set and doesn't count toward the requested page count

Fulls out

  • Wendy Rohm — full sent Oct 1, updated manuscript Oct 19; reading
  • Sam Hiyate (Rights Factory) — full sent Oct 18; reading
▸Self-Publishing UnitAgent unit · Maker + OperatorPlannedThe in-house publishing arm for the nonfiction-a-year line and any title Derek chooses to publish himself: production, metadata, launch package — then hands the finished book to Marketing & Promotion.per title

Owns

  • Manuscript → finished book: edit prep, formatting, cover brief, metadata, retailer setup
  • Launch package: description, categories, ARC and review plan

The handoff that matters

  • On publication day the finished book + launch package pass to Marketing & Promotion (Program Sales), which runs the promotion push — the unit never promotes its own book in a silo
  • Sales and list response flow back here as the signal for the next title

Relationship to querying

  • Querying (above) pursues traditional representation for END PROGRAM; this unit is the parallel self-publishing track — Derek and the Business Coach decide which track a title takes
Files & links
Literary Agent Database (workbook) · Canonical query letter — Nov 9 edit · Manuscript: END_PROGRAM_Full_Manuscript__10.16.26-2.docx
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05  YouTube Show

The core show as audience hub — the anchor asset everything else compounds from. One anchor piece a week, repurposed everywhere.

924/924
Library videos playing in the Manual
2
Takeout zips in progress (~3 hrs each)
▸Transcription LaneMuse subagent · OperatorActiveYouTube videos coming down via Takeout (2 zips started, ETA a couple of days for the set), then transcribed and folded into the searchable library.per video

Route

  • Owner downloads work where the shared-link/API path hit a quota wall
  • Unzipped videos upload back to Drive as they complete

Stall handling

  • Long lane kept moving: finished work skipped, usable partial work starts in parallel
  • Heartbeat flags any run silent past its window
▸Repurposing WorkerMuse subagent · MakerQueuedTurns each episode transcript into drafts — email, community post, social, short-form — community first, the rest as on-ramps back.per episode

Pattern (from the research)

  • Anchor piece → transcript + summary → drafts for every channel
  • After a quarter, the library becomes the archive the support agent answers from
▸Vimeo Embed WatcherMuse subagent · Researcher1 holdout923 of 924 videos play inside the Manual; “Emergence Video Series (Video 2, edited)” won't save its embed-domain change — still plays on Vimeo itself.per check

State

  • Embed-domain fix applied fleet-wide Nov 9
  • Single holdout tracked, not hidden
Files & links
Rydall Video Library (in the Manual) Takeout folder — owner-only lock pending (see approvals)
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06  Social Media Growth

Distribution for the show, the books and the programs. Drafts are cheap; publishing stays human-gated until a workflow earns more authority.

—
Follower baseline set in Phase 1
2
Agents tracked
▸Social Drafting WorkerMuse subagent · MakerPlannedWill draft posts from episode and teaching transcripts in Derek's voice; nothing posts without review at L1.Phase 2

Charter sketch

  • Inputs: approved transcript excerpts
  • Outputs: post drafts + hook variants
  • Escalates anything touching health/finance claims
▸Music Project LaneWorkstream · CreativePlannedA music project every year or two, woven into the show and teaching — tracked here as a creative workstream, staffed when active.per project

Note

  • Part of the six-plank vision: Renaissance-man / human-evolution-thought-leader brand
Files & links
Drafts will land in the same review queue as email and community drafts
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07  Evergreen Funnel

The external evergreen funnel — themed free offers (know yourself, live abundantly, A Whole New Human, irreplaceable) → tripwire → backend offer → ascension flow. Still planning-stage by Derek's call.

4
Free-offer themes scoped
3
Agents tracked
▸Funnel Build WorkerMuse subagent · MakerQueuedBuilds funnel pages and tripwire assets when the plan is green-lit; held at planning-only until then.per asset

Standing instruction

  • Ascension/evergreen is planning-only — no build spend until Derek changes that
▸List Health & GrowthAgent role · OperatorPlannedOwns the email list as an asset: deliverability, hygiene, segmentation and steady growth — and converts the funnel's raw signups into an engaged, buyable audience.per week

Owns

  • List hygiene: bounces, dead addresses, sunset policy — a clean list is what makes every launch work
  • Segmentation by interest and stage of the ascension journey
  • Growth reporting: net adds, engagement, unsubscribes — reported as changes, not vanity totals

Receives / hands off

  • Receives new leads from the Evergreen Funnel and Social Media Growth
  • Hands warm, segmented audiences to Marketing & Promotion and Program Sales for launches
  • Flags list problems to the Agentic COO before they become launch problems
▸Stephanie — Funnel OpsHuman · COOActiveOwns the GHL side of any funnel: automations, campaigns, tracking.human

Coordination

  • ClickUp is the handoff log; Sage owns the board
Files & links
Funnel plan lives with the six-plank vision notes; Black Friday (Nov 27) offer is being handled outside this board
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08  Podcast Outreach

Guest invitations compound as the show grows — outreach for Derek as a guest, and booking guests for the show. Stephanie owns booking handoffs by email and Slack.

—
Pitch baseline set in Phase 1
2
Agents tracked
▸Guest Research WorkerMuse subagent · ResearcherQueuedBuilds sourced target lists — shows, hosts, fit, recent episodes — with a one-line pitch angle per target.per list

Evidence rule

  • Every target carries its source; no list ships on vibes
  • Pitch copy built from Derek's own approved words, not drafted from scratch
▸Booking CoordinatorHuman + agent pairActiveStephanie owns the booking handoffs; Muse drafts outreach and prep, Stephanie sends and schedules.per booking

Split

  • Agent: research, draft, prep briefs (L1)
  • Human: send, negotiate, schedule (consequential = human)
Files & links
Booking handoffs run through Stephanie's email + Slack; status rolls up here
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09  Strategy, Coaching & Business Development

The advisory unit — it serves Derek directly rather than running a workstream. Advice and opportunity-finding, grounded in Sage's deep knowledge of Derek, with every recommendation carrying its reasoning so Derek stays the decider.

3
Agents tracked
Weekly
Advisory rhythm
▸Business CoachAgent · ConsultantDesign — Phase 1Advises Derek on the best decisions across the business — pricing, launches, partnerships, where to spend time — like a consultant who has read everything and remembers all of it.per consult

How it advises

  • Starts from Sage's knowledge base: Derek's goals, values, history and past decisions — advice fits the man, not just the market
  • Brings options with trade-offs and a recommendation, never a bare answer; cites what the best operators actually do
  • Challenges when the evidence says challenge — a coach that only agrees is a mirror, not a coach

Coordinates with

  • Sage — reads her consolidated picture before advising (her Derek-only financial reports stay hers; the Coach works from status and context, not her report contents)
  • Agentic COO — accepted recommendations become sequenced unit work, not loose intentions
  • Business Development — stress-tests opportunities before Derek commits

Authority

  • L1 — advise & recommend only. Every consequential decision stays Derek's
▸Business DevelopmentAgent · Researcher + MakerDesign — Phase 1Hunts the growth routes the units can't reach alone: partnerships, guest and ally pipelines, licensing — and non-slush routes to agents and publishers for the books.per pipeline

Owns

  • Opportunity pipeline: sourced, fit-checked, with a one-line angle per target — every entry carries its evidence
  • Warm-route mapping for books: referrals, publishing and film contacts, platform leverage — the routes beyond the slush pile
  • Partnership drafts for review; humans make the introductions and close

Hands off

  • Qualified book routes to the Books unit; qualified show/ally targets to Podcast Outreach and the YouTube Show
  • Revenue opportunities to the Business Coach for a stress-test before they reach Derek
▸Sage — Heart & Soul Knowledge BaseAgent · Knowledge baseActiveThe deep record of Derek — values, vision, voice, decisions and their reasons — that this unit consults so advice and outreach sound like him and fit his actual goals.standing

What lives there

  • The six-plank vision, the refined goals, standing rules and locked decisions
  • ClickUp — the team's shared source of truth and handoff log, which Sage owns

Boundary (standing rule)

  • Sage's consolidated financial reports go to Derek only and are never opened or quoted by other agents — this unit coordinates with Sage on nonfinancial business and project status
  • Muse feeds Sage state changes directly, with a consolidated refresh every Friday
Files & links
Six-plank vision notes · ClickUp board (Sage) · Advisory memos land in Derek's queue above when a decision is needed

How the units connect

Handoffs · what passes, and to whom

The business works because of the arrows, not the boxes. Each chain below is a real handoff: a finished output leaves one unit as a named artifact, the receiving unit picks it up as its input, and the Agentic COO watches for any handoff that stalls. A handoff is a status change — ready for review → accepted — never a message that can get lost in a thread.

A book, end to end

Books — Querying→Representation / deal→Publishing
Books — Self-Publishing Unit→Marketing & Promotion→Launch push→Sales + list growth

Two tracks, one rule: whichever track publishes the book, Marketing & Promotion runs the promotion. The Self-Publishing Unit hands over the finished book + launch package; querying hands over the deal. Sales and list response flow back to Books as the signal for the next title.

Reach → leads → revenue

Social Media Growth→Promotion & Sales→Evergreen Funnel→Leads→List Health & Growth→Revenue

Social reach is raw material, not the goal. Promotion & Sales aim it at the funnel; the funnel converts it to leads; List Health & Growth keeps those leads engaged and buyable; Community nurtures them up the ascension journey toward programs and coaching.

The show feeds everything

YouTube Show→Transcript (Teaching Library)→Repurposing→Social · Community · Email
Podcast Outreach→Guests + invitations→Show audience→Funnel

One anchor episode a week becomes drafts for every channel, and its transcript joins the searchable library — the same library the support drafter and session prep answer from. Outreach compounds the audience from both directions: Derek as guest, and guests on his show.

Advice & oversight loop

Sage — knowledge base→Business Coach→Derek decides→Agentic COO→All units
Business Development→Coach stress-test→Qualified routes → Books · Outreach · Partnerships

Decisions flow down the same path work flows up: units report status changes, the Agentic COO rolls them up, the Coach advises from the full picture (grounded in Sage's knowledge of Derek), and Derek's call returns as sequenced work — not a loose intention.

Customer support sits inside Community Building & Nurturing: the support drafter answers routine questions from the Teaching Library, humans take anything trust-sensitive, and recurring member questions flow back to Coaching & Teaching and the YouTube Show as topics. Support is a listening post for the whole business, not a ticket queue.

How live status works — without burning tokens

Status-change events · one table · 15-min heartbeat

Streaming every agent's every thought into a dashboard is how teams go broke watching their agents work. This board runs on the “boring” pattern the research recommends for small teams: agents speak only when something changes.

1 · Events, not streams

started→progress→blocked/failed/completed

Each agent emits one small event per state change, carrying task_id · run_id · agent · status plus a one-line summary and a blocker note when there is one. Silence means “still doing what the last event said” — which costs nothing.

2 · One small status table

Every event appends one row to a single run table. This dashboard reads only the latest status per task from that table — it never polls the agents themselves. One run_id joins the trace, the cost, the approval decision and the quality score; anything that can't join by run_id is a silo, not a dashboard.

3 · Coordinator rollups

Workers report to a coordinator (Muse, per unit), and the coordinator writes one summary line per workstream — the line you see on each card above. Twenty workers become one readable line. You open the drill-down only when a line needs your eyes.

4 · Heartbeat catches the silent failures

A scheduled check every ~15 minutes flags any run still marked “running” past its expected window — the failures that never send a “failed” event. Blocked + stale runs roll into a daily digest. Output lands as ready for review; only a human acceptance moves it to accepted — attempted, reviewed and accepted are three different states.

Cost per workstream — spend sits next to what it delivered

WorkstreamWhat counts as one successful outcomeTracked per runSpend column
Books — query campaignOne verified send, or one inbox event correctly loggedtokens · tool calls · retriesNot yet measured — instrumentation lands Phase 2 (Langfuse)
YouTube — transcription laneOne video transcribed & indexed in the Manualtokens · minutes processedNot yet measured — Phase 2
Coaching — session prepOne prep brief Derek actually usestokens · sources citedNot yet measured — Phase 2
Program sales — launch draftsOne draft accepted by Stephanietokens · edit distance to finalNot yet measured — Phase 2
Podcast outreachOne sourced target list / one bookingtokens · targets verifiedNot yet measured — Phase 2

The number that matters is cost per successful outcome, not cost per token — a dearer run that completes cleanly is cheaper than a cheap run that retries, escalates and creates cleanup work. The research is blunt about the stakes: Anthropic's orchestrator–worker system beat a single agent by 90.2% on its research evaluation, at roughly 15× the tokens — and Google found multi-agent setups hurt sequential planning tasks by 39–70%. That's why every agent here has to justify its path on this table. Per-run and per-day budget caps pause an agent and alert its owner when hit — enforced outside the model, never just written in a prompt.

What you can use Muse for

The full breakdown

Muse is the integrator because it holds the whole picture — your memory, your files, your accounts — and can build, not just advise. The setup that gets the most out of it: keep one point of contact (you → Muse), let ClickUp be the shared handoff log, and give standing rules once instead of approving every step.

Knows you & remembers

  • Standing memory: your rules, people, projects, locked decisions — applied without re-briefing
  • Morning brief, inbox watch, calendar — the day's picture in one place
  • Self-check discipline: every number pulled fresh from the source before it's reported to you

Runs operations

  • Email, calendar, Drive/Docs/Sheets, ClickUp, Slack — read, draft, send, file, track
  • Batch campaigns (like the query wave) under standing authorization, with per-item QA
  • Long lanes — downloads, transcription, indexing — kept moving with stall detection

Researches & verifies

  • Deep web research with sources, like the report behind this page
  • Live verification of people, companies, prices, windows — stale labels re-checked, never trusted
  • Best-practice first: how pros actually do it, before improvising

Builds pages & apps (Spaces)

  • Pages — hosted, can be published to a public link: the Master Manual, the daily brief site, this dashboard
  • Apps — pages with their own database that remember what you enter: trackers, planners, logs; they stay private to you
  • Documents too: Word, PDF, decks, spreadsheets you keep editing

Builds from your real stuff

  • Your Drive, Gmail, Calendar, Sheets, ClickUp, Teaching Library, workbooks
  • Searchable systems over your own corpus — the Asset Management System is the template
  • Nothing invented: dashboards show your actual agents and their actual state

The honest limits

  • No native phone apps; pages don't work offline
  • A static page can't save typed input — that's what the app kind is for; an app can't be published publicly
  • Live data needs a live source — this board refreshes on status events and snapshots, not magic
  • Deleting an artifact is permanent — Muse always checks with you first

How this gets built

Best practice, phased — from the Nov 2026 research

The dashboard is a control layer, not a chart wall. Its core object is the run record — one row per agent run, designed before the first model call — and five surfaces grow on top of it. This page you're reading is the design + live snapshot; the phases below wire it to real run data.

The run record — one row per runWhy it's there
run_id · trace_idConnects product events, model calls, tools, retrieval and approvals
agent_name · agent_version · prompt_versionMakes regressions debuggable after a prompt edit or model change
model · input/output/cached tokensTurns usage into cost and routing decisions
tool_calls[] · retrieval_set_id · citation_countSeparates bad agent behaviour from bad dependencies; ties quality to the exact knowledge path
approval_status · eval_scores · failure_classProves what was approved, rejected or timed out; makes quality searchable instead of anecdotal

The five surfaces (what grows on the run table)

  • Launch gates — success rate, unresolved failures, eval pass rate, approval backlog → decide whether to scale a workflow
  • Run explorer — searchable runs by workflow, version, model, state → debug a failed or expensive run
  • Trace detail — nested model / retrieval / tool / approval spans → find the exact failing step
  • Cost attribution — cost by workflow, model, prompt version, outcome → change routing, limits, prompts
  • Approval queue — pending / approved / rejected / expired / escalated → the “Waiting on Derek” section above, live

Authority ladder — autonomy is earned per workflow

  • L0 Read & answer · L1 Draft & recommend · L2 Reversible actions, logged
  • L3 Prepare consequential actions for human approval · L4 Unattended inside narrow limits, with monitoring and stopping rules
  • Begin read-only; promote a workflow only after it passes real cases repeatedly
  • An agent trusted to draft a brief has not earned the right to touch the CRM — authority is per workflow, not per agent
  • Every agent gets a written charter (outcome, scope, sources, tools, evidence rules, definition of done, escalation, owner, review date) and a line in the agent register: no register entry, no credentials
WEEKS 1–2

One workflow + the run record

  • Pick one recurring workflow with a clear output (the query campaign is the natural first — it's already run-record-shaped)
  • Create the run table with the fields above; document today's baseline (cycle time, quality, human effort)
  • One agent, read-only or draft-only (L0–L1), with a written charter and a named business owner (Derek) and technical owner (Stephanie)
WEEKS 3–4

Coordinator + one gate

  • Status events wired in (started / progress / blocked / failed / completed; ready-for-review → accepted)
  • 15-minute stale-run heartbeat + daily blocked/stale digest
  • One consequential action behind a real approval gate — approve / edit / reject, requests expire, default is deny. This board's snapshot becomes the live view of that table
MONTH 2

Observability, evals, budgets

  • Langfuse (self-hosted, free) or LangSmith for traces + evals; shared trace IDs so traces survive a tool switch
  • A 10–20 case eval set from real tasks — golden, edge, adversarial, and approval checks (proof the agent actually stops) — run on every prompt/model change
  • Per-run and per-day spend caps; weekly review of cost per successful outcome, not token totals
ONGOING

The operating rhythm

  • Daily (Stephanie, ~10 min): approval queue + blocked/stale digest + the brief
  • Weekly (Derek + Stephanie): sample live work, log failures by cause, eval pass rate, rubber-stamp check (if 99% of approvals pass in seconds, the tier is wrong)
  • Monthly: ops review — errors, limit hits, denied approvals, cost; promote one workflow one authority level, on evidence only
  • Quarterly: owner review (value vs cost, keep or retire), access recertification, and test the kill switch — stop → contain → tell → fix → resume through a launch review → learn. A kill switch nobody has tested is a hope, not a control

The stack the pros converged on (Nov 2026 — verify pricing before buying)

LayerPickWhy / status
Agent runtimeLangGraph 1.x for anything touching money, customers or publishing; n8n as no-code glue; Claude Agent SDK if the stack goes Claude-first and file-heavyLangGraph is the only one with checkpoint-based durable execution built in — resume from the last checkpoint after a pause instead of restarting. CrewAI is the fastest prototype but has no built-in checkpointing
ObservabilityLangfuse (self-hosted, MIT core; Cloud from free Hobby tier, Core $29/mo, Pro $199/mo as cited Nov 2026) — or LangSmith if you commit to LangGraph ($0 Developer / $39 per seat Plus)Traces + prompt management + evals + dashboards in one product; emit OpenTelemetry spans with shared trace IDs
Run table + live viewPostgres / Supabase + Realtime; this dashboard as the business control layer on topDeveloper tools like LangSmith Studio are IDEs, not ops dashboards — the business layer is custom, and it can start as a table + views
AvoidAutoGen — archived (last release Sep 2025, no fixes). Helicone — in maintenance mode since its Mar 2026 acquisition; avoid for new buildsBoth per the Nov 2026 framework comparisons
The honest gap: there is no published, audited case study of a founder-led courses/books/coaching business running a multi-agent fleet behind a live ops dashboard — the research looked, hard. The closest real patterns are single-agent (a creator's trained support agent answering from his own course library) or a personal AI operating system in a terminal. The documented dashboards are vendor products and engineering write-ups. The realistic move is the one above: build the run-record dashboard for this business, in phases — and become the case study. Revenue and margin figures quoted for famous one-person businesses ($15M, 94% margins and the like) are self-reported, not audited — treat them as direction, not data. Same caution for survey numbers: Gartner's “over 40% of agentic AI projects cancelled by end-2027” is an analyst projection, useful for taking governance seriously, not a measurement.

Sources

Research · Nov 10, 2026