Demo deployment — a fresh offline cycle, rebuilt on every deploy. Edits don't persist.

Venue

Plan 2 events for the coming quarter: format, audience, the one thing each attendee should leave with, the promotion plan, and the follow-up sequence. Prefer formats a two-person team can run repeatably. Buyers are growth and marketing leaders at startups and AI-forward brands. Anchor the work to the "Agents are doing the marketing work now" narrative where it fits honestly.

run_ec7f3a4918f846b4ac96Eventssucceeded
Created
Aug 5, 2026 20:53 UTC
Duration
201ms
Cost
Tokens (in / out)

Brief

what the engine asked for
Objective

Plan 2 events for the coming quarter: format, audience, the one thing each attendee should leave with, the promotion plan, and the follow-up sequence. Prefer formats a two-person team can run repeatably. Buyers are growth and marketing leaders at startups and AI-forward brands. Anchor the work to the "Agents are doing the marketing work now" narrative where it fits honestly.

Goal: 2 events per quarter (events_hosted)

Constraints
  • no fabricated metrics or customers
  • no disparaging named competitors
  • Every claim must be defensible — prefer concrete mechanisms and numbers over superlatives.
  • Produce work product for human review; nothing is published to a live channel by the agent.
  • Assume a small team: no format that needs more than two people to run.
  • Every event needs a defined follow-up path, not just an attendance number.
Market context (Adveron)

BRAND Brand: Waldo (waldo.fyi) — An AI startup building the data and orchestration layer for marketing agents. We run our own marketing on our own products, in public. Category: AI marketing tools Products: Adveron — Brand and audience intelligence data layer for marketing agents.; mos — Marketing OS that sets goals, orchestrates marketing agents, and learns from what they ship. Audience: growth and marketing leaders at startups and AI-forward brands Voice: sharp, technical but human, no hype Competitors: Brandwatch, Similarweb, SparkToro Constraints: no fabricated metrics or customers; no disparaging named competitors Brand perception — sentiment 0.59, share of voice 6%. Associated with: AI agents that do marketing work, answer-engine optimization (AEO), building in public, developer-grade marketing stack, small team, big surface area. Waldo over the last 90 days: Waldo is read as an agent-native challenger: people file it next to the AEO/LLM-visibility wave rather than next to legacy listening suites. The two-product story (Adveron as the data layer, mos as the orchestration layer) is understood by practitioners but blurs for non-operators. Strongest association is "AI agents that do marketing work"; the loudest objection is proof rather than concept. Trending narratives in AI marketing tools: "Agents are doing the marketing work now" (momentum 0.99) — The conversation moved from 'AI writes drafts' to 'AI runs the channel'. Practitioners are comparing agent output to junior-hire output and publishing the receipts. | "AEO is eating SEO" (momentum 0.90) — Answer-engine optimization has crossed from niche to default vocabulary. Teams are re-scoping SEO roles around being cited by LLMs rather than ranking on page one. | "Brand presence inside LLM answers is the new share of voice" (momentum 0.87) — Brands are discovering they are absent, mis-described, or beaten by a competitor inside ChatGPT/Claude/Perplexity answers, and treating that as a measurable brand-equity problem. Channel opportunities: ambassadors: Formalise the people already recommending you into an ambassador roster with early access, a private channel, and shareable experiment results. — why now: Advocacy already exists but is unstructured; the category's buyers trust practitioner recommendation far more than vendor content, and the roster compounds. (category: AI marketing tools; brand: Waldo) (effort low, impact high) | social: Founder-led build-in-public cadence on LinkedIn and X, shipping one head-to-head agent experiment result per week. — why now: Creator-led B2B is at peak momentum and experiment results are inherently screenshot-shaped — the format the feed rewards. (category: AI marketing tools; brand: Waldo) (effort low, impact high) | owned_media: Publish a recurring 'what AI marketing can't answer' data-gap report built from mos's own Adveron gap log. — why now: Nobody else can publish it — the artifact only exists because you instrument every query. It doubles as proof …

Performance context (connectors)

Performance summary — latest period ending 2026-08-05T20:53:31.354Z (1 period(s) on file, 62 snapshots scanned). Owned Media - engagement_rate: 3.54% [social_owned] - follower_growth: 495 followers [social_owned] - impressions: 135,393 impressions [social_owned] - platform_impressions: 135,393 impressions [social_owned] top: linkedin 59,347 impressions · x 51,543 impressions · youtube 24,503 impressions - posts_published: 9 posts [social_owned] - viral_posts: 1 posts [social_owned] SEO / AEO - avg_search_rank: 12.3 [search_console] - clicks: 298 clicks [search_console] - impressions: 21,362 impressions [search_console] - indexed_queries: 424 queries [search_console] - query_avg_rank: avg 10.4 [search_console] top: adveron 1.5 · brand intelligence api 6.8 · marketing os 8.1 · answer engine optimization 10.9 - query_clicks: 287 clicks [search_console] top: marketing os 77 clicks · answer engine optimization 59 clicks · adveron 57 clicks · brand intelligence api 39 clicks Paid Ads - cac_usd: avg $45 [google_ads, meta_ads] top: meta_ads $38 · google_ads $52 - campaign_spend_usd: $1,666 [google_ads] top: aeo-intent-terms $797 · competitor-conquest $503 · brand-defense $366 - clicks: 3,892 clicks [google_ads, meta_ads] top: meta_ads 2,036 clicks · google_ads 1,856 clicks - conversions: 51 conversions [google_ads, meta_ads] top: google_ads 32 conversions · meta_ads 19 conversions - impressions: 265,912 impressions [google_ads, meta_ads] top: meta_ads 197,665 impressions · google_ads 68,247 impress…

Result

what the agent produced
Summary

Events: 2 deliverable(s) drafted for "Plan 2 events for the coming quarter: format, audience, the one thing each attendee should leave with, the promotion plan, and the follow-up sequence. Prefer formats a two-person team can run repeatably. Buyers are growth and marketing leaders at startups and AI-forward brands. Anchor the work to the "Agents are doing the marketing work now" narrative where it fits honestly." from 4 Adveron intelligence section(s).

Metrics to watch
registrationsattendance_ratequalified_conversationspipeline_influenced_usdcost_per_attendee_usd
Deliverables (2)

Three event concepts

event_concepts
Objective: Plan 2 events for the coming quarter: format, audience, the one thing each attendee should leave with, the promotion plan, and the follow-up sequence. Prefer formats a two-person team can run repeatably. Buyers are growth and marketing leaders at startups and AI-forward brands. Anchor the work to the "Agents are doing the marketing work now" narrative where it fits honestly.
Primary audience: AI-curious CMOs at mid-market brands (~24k globally; ~7k at companies with 50–500 employees)
1. "Agent Teardown Night" — hosted, IRL, 30 people
   Format: live teardown. Three attendees bring a real marketing brief; we run mos against it on stage, including the runs that fail.
   Audience: AI-curious CMOs at mid-market brands — heads of growth and founders who already run agents.
   Hook: leave knowing exactly why your agent's output is generic, and with one brief rewritten so it isn't.
   Why this format: this audience distrusts demos and trusts watching something break.
2. "What Your Agents Don't Know" — hosted, virtual, 150 registrations
   Format: 40-minute working session on the data gaps we log — the questions our own agents ask Adveron that nothing can answer yet.
   Audience: AI-curious CMOs at mid-market brands plus agency operators and agent builders.
   Hook: a live look at the dogfood log — the unanswered questions are the interesting part, and attendees get to add theirs.
   Why this format: low-commitment, high-signal, and it turns our weakness into the content.
3. Sponsored presence + side dinner — sponsored, IRL, 20 at dinner
   Anchor: pair this with the "ambassadors" opportunity Adveron flagged (Formalise the people already recommending you into an ambassador roster with early access, a privat…).
   Format: minimum viable booth presence, with the real activation being a 20-person dinner on night one for practitioners only — no vendors.
   Hook: the one room at the conference where nobody is selling; the topic is No baseline for how the brand is represented inside LLM answers.
   Why this format: booths generate badge scans, dinners generate relationships. Budget follows the dinner.
Deliberately not doing: a large-scale conference of our own. We do not have the audience or the operational capacity, and a half-full conference costs more in credibility than it earns.
Note: which events the audience actually attends, and where competitors already sponsor, are unavailable from Adveron (data gaps recorded). Concept 3's venue is therefore unassigned.
{
  "offline": true,
  "conceptCount": 3,
  "formats": "IRL teardown, virtual session, sponsored + dinner"
}

Event plan: Agent Teardown Night (concept 1)

event_plan
Objective served: Plan 2 events for the coming quarter: format, audience, the one thing each attendee should leave with, the promotion plan, and the follow-up sequence. Prefer formats a two-person team can run repeatably. Buyers are growth and marketing leaders at startups and AI-forward brands. Anchor the work to the "Agents are doing the marketing work now" narrative where it fits honestly.
Target: 30 attendees, 60% practitioners who have run a cycle, 8-week lead time.

LOGISTICS OUTLINE (owner · lead time)
  Venue: a partner office or small event space, seated for 30 with a screen — founder · 6 weeks out
  Content: three volunteer briefs sourced from users, pre-reviewed but not pre-solved — this agent + founder · 4 weeks out
  Run-of-show: 15 min framing → 3× 20 min live teardowns → 30 min open floor → 45 min unstructured — 3 weeks out
  Catering + AV: food that lets people keep talking; test the screen share with the live mos run — ops · 2 weeks out
  Recording: capture the teardowns only, with consent, for repurposing into owned media — ops · day of
  Cost band: low four figures for venue and catering; no speaker fees.

PROMOTION PLAN
  T-5 weeks: personal invites first — 40 hand-picked people from the ambassador pool and active users, sent one-to-one by the founder. Fill half the room before anything is public.
  T-4 weeks: announce on the founder X account and company LinkedIn, framed as the teardown, not the venue. Volunteer-brief call to action.
  T-3 weeks: lifecycle email to users in the metro area who have run at least one cycle. One send, one CTA.
  T-2 weeks: ask ambassadors and any partnered creators to share; give them the raw framing, not a template.
  T-1 week: confirmation email with the three briefs being torn down — the lineup is the closing argument for attendance.
  Day of: live-post the best moment from the founder account.

FOLLOW-UP (the part that makes it count)
  T+1 day: personal note to every attendee with the recording and their brief's output.
  T+3 days: publish the teardown as owned media, crediting the volunteers.
  T+1 week: log qualified conversations against pipeline and write the learning — what the room actually asked about is next quarter's positioning input.

SUCCESS METRICS
  Primary: qualified conversations (target 12) and pipeline influenced.
  Secondary: attendance rate against registrations (target ≥ 70% for an invite-led IRL event), cost per attendee, and content produced from the recording.
  Failure signal: a full room with no follow-up conversations means the guest list was wrong, not the content.
{
  "offline": true,
  "format": "hosted IRL",
  "targetAttendees": 30,
  "leadTimeWeeks": 8
}
Reasoning notes

[offline draft — no ANTHROPIC_API_KEY] Venue ran its full Adveron gathering and data-gap probes, then produced template deliverables instead of Claude output. Intelligence used: Channel opportunities; Audience segments; Wishlist — event attendance data for the target audience: which events they attend, headcount, seniority mix, and recurrence; Wishlist — competitor event presence and sponsorship history by event, tier, and activation type. Re-run with ANTHROPIC_API_KEY set for the real work product.