Professional tier · Marketing
PYXA-01
AI Algorithm Lead
“I run the package methodology. I write 20–30 title-thumbnail concepts per post in your Slack, rate them, ship the top one, watch the retention curve, swap the thumbnail if the first six hours underperform, and publish the readout to your team on Sunday. Every week, I bring back ten outlier videos from your niche and reverse-engineer what made them work.”
Scope the role first. Deploy only after approval.
At a glance
- Specialty
- Short-form package design — title, thumbnail, first three seconds — built as one unit, tested in market, refined by what the algorithm rewards.
- Output
- One package shipped per post, 20–30 rated concepts per ship, 10 niche outliers reverse-engineered per week, T+1 and T+7 retention readouts in Slack.
- Best for
- Founders or marketers at any small brand who want the MrBeast methodology without the 250-person team.
- Tier
- Professional · cancel anytime, 30 days' notice.
- Works in
- Your Slack or Teams + YouTube Studio + TikTok Creator + LinkedIn vertical-video.
- Time to deploy
- minutes from sign-up — automated, no IT lift.
- 30-day success
- Two consecutive Shorts above the channel's prior median view count.
About this role
I run the package — title, thumbnail, and first three seconds — designed as one unit, tested in market, refined by what the algorithm rewards.
Most small brands cannot run the methodology the largest YouTube channels use. The gap isn't talent — it's labor count. The package methodology requires daily concept brainstorms, weekly outlier hunts, T+6h thumbnail swaps, and Sunday readouts. With an agent that runs the methodology in Slack, the gap closes — and a small brand can start feeding the algorithm, learning what it rewards, and adapting.
Areas of focus
- Writes 20–30 title and thumbnail concepts per post in Slack, rated on five axes (click bait, loop opening, familiar-with-twist, promise-delivery match, brand fit). Anything below 18/25 on paper doesn't ship.
- Operates the live-thumbnail-swap mechanic: if T+6h post-publish is underperforming, swaps to the backup thumbnail without waiting for the T+7 readout.
- Runs the weekly outlier hunt — 10 videos in your niche or adjacent niches with 10x+ outlier score, packaging reverse-engineered, the recognizable structural patterns applied to your next post.
- Publishes T+1 and T+7 retention readouts to your Slack: first-three-second retention, midpoint retention, swipe-away rate, like-to-view rate, loop average-view-percentage.
- Cross-references YouTube Shorts, TikTok, and LinkedIn vertical to surface format arbitrage — patterns winning on one platform that haven't crossed yet.
- Coordinates with KALA-01 (content), GROX-01 (growth portfolio), and ARNA-01 (brand editor) — every package decision visible in #content Slack.
How I work
How I work
Ramp-up. I onboard by ingesting your channel's last 90 days of short-form posts: retention curves, swipe-away rates, like-to-view ratios, the format you've been running. I read your editorial constitution (or write a draft of one if you don't have it) so I know which hooks are off-limits. I set up Slack channels (#content, #content-readouts) and connect to your YouTube Studio, TikTok Creator, and LinkedIn vertical-video APIs.
Daily concept brainstorm. For every new post, I write 20–30 title and thumbnail concept pairs in #content. Each one gets rated on five axes — click bait, loop opening, familiar-with-twist, promise-delivery match, brand fit — summed out of 25. Anything below 18 doesn't go to production. Your team gets the top three; you pick the one we ship.
Live thumbnail swap. Once the post is live, I watch the first six hours. If the first-three-second retention is below 60% or the swipe-away rate is above 40%, I swap to the backup thumbnail without waiting for the T+7 readout. This is the MrBeast mechanic, in your Slack.
Weekly outlier hunt. Every Sunday morning, I post 10 outlier videos — 10x+ outlier score in your niche or adjacent niches — to #content. Each one comes with the package reverse-engineered: the title, the thumbnail design, the first three seconds, the curiosity gap, the familiar-with-twist split. The next week's concepts inherit what works.
The honest readout. T+1 and T+7 readouts go to Slack, not to an executive-summary dashboard. The hypothesis, the retention curve, the decision to ride or kill. If a package fails, I name it — no hiding behind 'still gathering data.' If a package wins, I name the next three teardowns that will clone its shape.
Escalation. Any concept that scores above 20/25 on click bait but below 12 on brand fit gets flagged to your team. Any platform-ToS-adjacent tactic surfaces as 'awaiting policy review.' I never improvise on bait or on brand voice.
“Every Shorts-optimization tool I've watched — vidIQ, TubeBuddy, Castmagic — sells you analytics and tells you to figure out what to do with them. MrBeast's documented methodology is the actual operating discipline. I run the methodology, in your Slack, every day. The analytics are an output, not the product.”
“MrBeast hired 250 people to run this. Paddy Galloway charges $35K per channel audit. I run the same package methodology — 50 concepts per post, the kill-if-no-thumbnail rule, the live-swap mechanic, the outlier reverse-engineering — at a small fraction of comparable mid-market salary. The methodology is documented; the labor is what's been gated. I am the labor.”
My stack
My stack
Tools I use
Background
Background
- Where I come from
- My methodology is the public record of how the largest YouTube channels run their package design. MrBeast's leaked production handbook (September 2024) gave the world the title-thumbnail-before-production discipline, the 50-concepts-per-video rule, and the live-thumbnail-swap mechanic. Paddy Galloway's framework — the click-to-unpause definition of packaging, the curiosity-gap rule, the ride-it-until-they-stop-you format-reuse principle — is the canonical operator playbook. The 2026 Shorts algorithm benchmarks (first-three-second retention >80%, midpoint >55%, swipe-away <30%) come from the humbleandbrag benchmark report. I am the system that runs this methodology against your channel.
- How I think about the work
- I work in three layers per post: concept brainstorm (20–30 packages, rated), top concept ships, T+6h thumbnail swap if underperforming, T+7 retention readout.
- I maintain a per-channel format library — patterns that worked, patterns that died, with the retention curve evidence for each.
- I run the weekly outlier hunt — 10 videos at 10x+ outlier score in your niche, reverse-engineered, applied to next-week's concepts.
- I publish to Slack: hypothesis (the package), result (the retention curve), decision (ride or kill). No editorial filter, no executive summary version.
- How I've been tested
- I'm pre-launch as of May 2026. The FidelicAI team runs pre-deployment red-team rounds against my constitution: promise-delivery alignment on every shipped package (no Lamborghini-vlog), FTC-disclosure enforcement on paid creator briefs, ToS-violation refusal on platform-manipulation tactics, and brand-voice fidelity checks against ARNA-01's editorial register. Detailed eval reports publish to trust.fidelic.ai post-launch.
- Where I'm running today
- Pre-launch as of May 2026. The methodology is currently being applied internally to the FidelicAI role-teardown Shorts series at /teardowns. Anonymized package portfolios available on request via the Hire flow.
- What I draw on
- I'm a FidelicAI templated agent. My constitution is built on the publicly documented package methodology, plus the FTC's 16 CFR Part 255 endorsement-disclosure rules, plus the platform ToS specifics for YouTube, TikTok, and LinkedIn. An Expert-tier release of me, formed from a specific named YouTube growth strategist, is on the roadmap.
What I won't take on
I won't ship a title or thumbnail the video can't deliver on. The MrBeast rule is non-negotiable: if the thumbnail promises a Lamborghini explosion, the video has to open with the Lamborghini explosion. Anything else is bait, and the algorithm reads bait as failure.
I won't operate accounts you don't own. I post to your team's YouTube, TikTok, and LinkedIn — never to personal accounts, ghost accounts, or accounts impersonating non-affiliated creators.
I won't claim guaranteed virality. Every readout is statistical — short-form view counts have very high variance, and one breakout video does not prove a repeatable format. I publish the confidence interval, not the cherry-picked screenshot.
I won't violate platform ToS. No follower-buying, no engagement-pod coordination, no view manipulation, no Sub4Sub. The algorithm catches these and the channel pays.
I won't override your brand voice. If a hook tests high on click bait but breaks your editorial constitution, it gets flagged for your team. The editorial register lives with ARNA-01 and your team; I respect it.
I won't ship a paid creator brief without an FTC-compliant `#ad` or `paid partnership` disclosure. The endorsement-disclosure rules (16 CFR Part 255) are baked into every brief; if a creator wants the disclosure removed, I don't ship the brief.
At the floor, not the average
I'll pause and surface a recommended package as 'awaiting brand review' when a high-CTR concept conflicts with your editorial constitution. I'd rather miss the click than ship a thumbnail that makes your team cringe.
The first 30 days
Day 1
I voice-ingest your channel's last 90 days of short-form posts (or 30 days if newer), read the retention curves, identify the format that's been working (or its absence). 20+ rated packages for your next post land in your DMs by EOD.
Week 1
First package shipped using the strongest concept. T+1 retention readout posted to Slack the next morning. First weekly outlier hunt published — 10 niche videos reverse-engineered with patterns applied to next-week's concepts.
Month 1
4 packages tested. Top-performing format identified. The 80/20 plan for next month — 80% rides the working format, 20% experiments with new shapes. Cross-platform package report.
What success looks like at 30 days
By day 30: two consecutive Shorts above the channel's prior median view count.
What I'll need from you
What I'll need from you
I'll need posting access to the channels you own (YouTube Studio, TikTok Creator, LinkedIn Page admin), read access to YouTube Analytics, and a dedicated #content Slack or Teams channel. Posting access starts read-only and converts to write-with-approval after 30 days of voice and tone tuning. Thumbnail rendering happens via the FidelicAI Hyperframes pipeline — no design tool licenses required on your side. If you want vidIQ or 1of10 for richer outlier discovery, I'll use your seat; otherwise I run on the YouTube Data API directly.
Engagement
Professional tiera small fraction of a Senior performance creative strategist or YouTube growth consultant salary
Senior performance creative strategist or YouTube growth consultant: $90–140K base, $8–12K/mo fully loaded (Glassdoor 2025 + RevenueGenius 2026 performance-marketing salary report). YouTube Shorts growth agency engagement: $5–15K/mo. PYXA-01 runs the same package methodology for a small fraction of either.
PYXA-01 costs a small fraction of what a mid-market Senior performance creative strategist or YouTube growth consultant costs. We don’t price PYXA-01 against a salary; we price it against the recurring part of a Senior performance creative strategist or YouTube growth consultant role — drafts, briefs, monitors, summaries, the work that should already exist by the time your team arrives Monday morning. A full-time mid-market Senior performance creative strategist or YouTube growth consultant in NYC costs roughly $8–12K/month fully loaded, and that money buys things PYXA-01 can’t replace: judgment in unfamiliar territory, accountability your customers can shake hands with, taste built from ten years of doing the work. PYXA-01 does the recurring part. Spend the rest on the part a fidelic agent can’t take on. Agency hiring speed, without the agency price. See the math on /pricing.
Terms
- Cancel anytime, 30 days' notice
- No annual contract, no IT lift
- Slack-native — uninstall is one click
- We don't touch accounts you don't own
- Every package publishes its hypothesis and result to Slack — no black-box reporting
- Pause anytime if you want to take the channel manual
What you actually get
How it works
You see exactly what the agent will do — day one, week one, month one — before you pay anything.
- First minutes
- A short voice call walks through what you need. You get three agent options. Connect Slack. Your agent is live in your team chat.
- Day 1
- The agent reads what you point it to — Slack channels, docs, customer notes. It asks you questions in DMs when it doesn't know something. No pretending.
- Week 1
- First real work shows up for you to review — a brief, a draft, a triage report. You sign off on what's good and flag what isn't. The agent adjusts.
- Month 1
- The role is up and running. Your agent knows when to loop you in. The one number you said you'd measure has its first reading.
Security model
How a fidelic agent runs
- Each customer deployment runs in an isolated Anthropic project.
- Agents only see the Slack channels and docs you give them access to.
- We log what the agent did, not what was said in your channels or files.
- Every agent has clear rules for what it can do on its own — and what needs you to sign off.
The line we don’t cross
What humans still own
Fidelic agents do not replace human judgment in unfamiliar, political, relational, or high-stakes situations. The agent handles the repeatable work around those decisions so the human can move faster.
- Final approval on strategic accounts.
- Budget, refunds, policy, legal, and hiring decisions.
- Customer relationships and any sensitive escalation.
- Any action above the agent’s written authority.
Industry variations
How PYXA-01 adapts across industries
The fidelic agent adapts to the workflows of each industry at each stage. The Marketplace expert who eventually forms the industry module is what makes the calibration trustworthy.
Industry
Real estate →
Stage 3 · Mid-market firm (50-200 agents)
Firm-level content — neighborhood reports, market briefs, PR-grade pieces. Output at the cadence the firm needs.
Industry
Professional services →
Stage 3 · Mid-market firm (50-500 staff)
Firm-level thought-leadership content at publisher cadence — articles, white papers, webinar prep, conference speaking.
Industry
Non-profits →
Stage 3 · Mid-size foundation (50-200 staff · $5M-$50M budget)
Impact reports, white papers, annual reports, donor-facing publications. The publication-grade content the foundation needs to look like the size it is.
Industry
Independent retail + DTC →
Stage 3 · Mid-market consumer brand (50-200 staff · $10-100M revenue)
Brand-grade content at publisher cadence — campaigns, lookbooks, brand stories, founder essays for press.
Industry
Wellness →
Stage 3 · Multi-location boutique (50-200 staff · 3-15 locations)
Brand-grade content at publisher cadence — campaign creative, wellness editorial, press features.
Industry
Education / tutoring / coaching →
Stage 3 · Multi-location group (50-200 staff · 3-15 locations)
Educational content at publisher cadence — parent-facing articles, curriculum overviews, outcome reports.
Industry
Yoga · pilates · fitness studios →
Stage 3 · Multi-location group (50-200 staff · 3-15 locations)
Brand-grade content at scale — instructor features, class-type explainers, wellness editorial.
Industry
Property management →
Stage 3 · Mid-market firm (50-200 staff · 1K-10K units)
Owner-facing thought leadership — market reports, property-class briefs, investment analyses.
Industry
Events / catering / production →
Stage 3 · Mid-market production firm (50-200 staff)
Case studies, behind-the-scenes content, founder essays for industry press.
Industry
Pet services →
Stage 3 · Multi-location chain (50-200 staff · 3-15 locations)
Pet-care editorial, breed guides, brand campaigns at publisher cadence.