# WizOfEcom's 5-agent content engine, audited

URL: https://www.thedeepfeed.ai/posts/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/
Category: Agents
Published: 2026-05-03
Author: the-deep-feed
Tags: claude-code, agent-skills, personal-brand, content-engine, ai-agents, x-twitter, linkedin
Kind: deep

> Mubbu's May 3 X long-form lays out a 5-agent stack for running founder personal brands in 45 minutes a week. The architecture is real. The proofs are gated. Here's the audit.

## TL;DR

- On May 3, **Mubbu** (@wizofecom, 163,741 followers) published a long-form X breakdown of the 5-agent stack his agency uses to run personal brands for *30+ founders doing $1M-$700M/yr*. The post landed **1,243 likes, 2,848 bookmarks, 170,695 impressions** — a save-to-like ratio of **2.29x**, almost identical to Lieben's 19-API drop the next day (2.25x).
- The 5 agents — Client Brain, Performance, Trend Hunter, Vehicle, Brand Guideline — map cleanly onto the orchestrator-workers + evaluator-optimizer patterns from [Anthropic's Building Effective Agents](https://www.anthropic.com/research/building-effective-agents). The architecture is textbook. The picture is real.
- The 5-field topic structure (name, description, pillar, perspective, vehicle) is the cleanest content-policy framework I've seen anyone publish. It's the content-engine equivalent of [Lieben's CLAUDE.md determinism test](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/#the-five-step-migration) — policy moved from saved prompts into versionable markdown structure.
- What's vapor: the *30+ founders / $1M-$700M/yr* roster, the *180+ founders through programs* number, the *68+ content vehicles* in Vehicle Agent, the *theme page averaging 100K+ views per shoutout* claim, and the *none of it sounds like AI* rhetorical close. Each is unverifiable from outside the program.
- Mubbu has no public skill repo. Lieben does ([sachacoldiq/ColdIQ-s-GTM-Skills](https://github.com/sachacoldiq/ColdIQ-s-GTM-Skills), 98 SKILL.md files). Same flywheel (X long-form drives inbound to a high-ticket agency), different gate. Open vs closed is now the strategic axis the agency-as-distribution genre splits on.

![Five small geometric tiles arranged around a central round node with thin sepia connectors, one upper tile rendered solid editorial red.](/post-images/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/five-agents.jpg)

On May 3 at 17:19 UTC, **Mubbu** (@wizofecom, 163,741 followers) posted a single sentence on X:

> A complete breakdown on how to use AI to become the most recognized founder in your industry in just 45 minutes a week.
>
> — [@wizofecom](https://x.com/wizofecom/status/2050988532806701415), May 3, 2026

The link below it pointed at a long-form artifact: a 5-agent architecture, an 8-step weekly loop, a 5-field topic structure, and a 7-style content menu. His bio claims he runs the personal brands of *30+ founders doing $1M-$700M/yr*.

Mubbu's tweet captured **1,243 likes, 122 retweets, 8 replies, 2,848 bookmarks, 170,695 impressions** — a save-to-like ratio of **2.29×**. [Michel Lieben's 19-API drop](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/) the next day landed at **2.25×**. Two operators in adjacent agency verticals (Lieben sells GTM-as-Claude-Code-runtime to B2B teams; Mubbu sells personal-brand-as-AI-agent-stack to founders) hit nearly identical bookmark behaviour the same week. Same buyer signal, same playbook for using a viral X long-form as a sales asset. This piece audits Mubbu's artifact the way [we audited Lieben's](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/): take it seriously, name what ships, name what's vapor.

# The 5 agents in the picture

Mubbu's post lays out five named agents, each with a specific job. Read against [Anthropic's Building Effective Agents](https://www.anthropic.com/research/building-effective-agents) (Schluntz and Zhang, December 2024), the architecture is a textbook orchestrator-workers pattern with an evaluator-optimizer attached. Here's the mapping.

| # | WizOfEcom name | Stated role | Anthropic-canonical pattern |
|---|---|---|---|
| 1 | **Client Brain** | Living knowledge base. Holds ICP, content pillars, topics, past performance, every piece of feedback. | Persistent context store. The substrate every other agent reads from. Same role as a CLAUDE.md plus a project memory file. |
| 2 | **Performance Agent** | Studies which topics and styles produce the best results. Generates new hypotheses based on patterns it finds. | Evaluator-optimizer. Reads outcome data, proposes the next test. |
| 3 | **Trend Hunter** | Identifies viral conversations in specific micro-communities (DTC X, SaaS X, agency X). | Routing + signal-detection worker. Same shape as a "search agent" in the OpenAI building-agents guide. |
| 4 | **Vehicle Agent** | Tracks 68+ content formats (threads, listicles, doc screenshots, carousels, mind maps). Picks which format performs best for each audience. | Format-selection worker. Routes a piece of content to the format with the highest historical engagement on that micro-community. |
| 5 | **Brand Guideline Agent** | Pre-publish QA. Checks voice, tone, identity. Makes sure every piece sounds unmistakably like the founder. | Evaluator. Boolean gate on output. The Anthropic paper calls this an "LLM as judge" step. |

Above all five sits a strategist (a human at the agency) who decides what to ask each agent and how to combine their outputs into a weekly content plan. That's the orchestrator. The five agents are the workers. The Performance Agent and the Brand Guideline Agent both behave like evaluators (one measures past performance, the other checks pre-publish quality), which is the second pattern from the Anthropic taxonomy.

[Karpathy's Software 3.0 frame](/posts/2026-05-01-karpathy-software-3-agentic-engineering/) recognizes this immediately: policy as markdown, executed by a model. The Client Brain is a ContextDoc. The Performance Agent is a function over outcome data. The Brand Guideline Agent is a lint pass. None of it is novel. What's interesting is that an agency is publishing it as a marketing artifact instead of treating it as proprietary IP.

The textbook nature is the strength. Anyone who has read the Anthropic paper can fork this architecture in a weekend. Whether Mubbu's specific implementation runs in production with 30+ clients is a separate question (we'll get to it).

# The weekly loop is the closed-feedback-signal architecture

![Eight small numbered nodes arranged in a clockwise circle connected by sepia arrows, with one top node rendered solid editorial red.](/post-images/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/weekly-loop.jpg)

The 8-step loop is what makes the agents productive. Without a loop, you have five workers staring at each other. Mubbu's version is structured.

| Step | What happens | Who runs it |
|---|---|---|
| 1. Data review | Pull last week's views, bookmarks, DMs, conversations. Filter to high-intent engagement, ignore vanity metrics. | Performance Agent + strategist |
| 2. Hypothesis | Combine outputs from all 5 agents into a weekly content plan: topics, vehicles, perspectives, mix. | Strategist |
| 3. Interview | One scheduled day. **30 minutes**. Strategist walks the founder through the data, shares the hypothesis, asks questions that pull out real stories and thinking. | Strategist + founder |
| 4. Content production | AI workflows take the data, the hypothesis, and the founder's transcript. Each piece is structured as `topic name → description → pillar → perspective → vehicle`. | Production agents |
| 5. Design | Custom infographics, doc screenshots, carousels, hand-drawn posts, mind maps. Designed for screenshot. | Design |
| 6. Approval + scheduling | Founder reviews. Approves or sends back. Strict revision protocol. | Founder + strategist |
| 7. Distribution | Posts go out. Theme page allegedly amplifies (claim: 100K+ views per shoutout). | Distribution |
| 8. Loop reset | All data from this week feeds back into Client Brain. New hypothesis next week. | Performance Agent |

The 30-minute interview is the bottleneck. Everything else is automatable in principle. The interview is not (a founder cannot delegate having opinions, reading their own performance data, or reacting to last week's reception). It also sets the labor multiplier: a strategist running four founders a day at 30 minutes each plus 30 minutes of prep is one strategist per twenty clients per week — close to the math an agency at $1M-$700M/yr scale needs to run 30+ accounts profitably.

The reset step is what makes the loop compound: Step 8 writes outcome data back into the Client Brain. Next week's hypothesis is built on top of it. The difference between an agent that runs and one that learns. It requires real data plumbing (X analytics, LinkedIn analytics, DM threads, conversation logs into a structured store) that the post does not show. The picture asserts the loop closes; it doesn't show the wiring.

The post is also runtime-agnostic. No "Claude Code with these MCP servers," no "n8n as glue, 19 named API vendors" the way Lieben's posts are. You could read it as Claude Code with custom skills, ChatGPT projects with saved instructions, or a homegrown Python orchestrator. The architecture survives that ambiguity. The verifiability of the implementation does not.

# The topic structure: 5 fields per piece

![Five flat rectangular cards stacked in a horizontal row, with the center card rendered solid editorial red.](/post-images/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/topic-structure.jpg)

This is the strongest engineering claim in the post. Every piece of content gets five fields filled in before anyone writes a word.

| Field | Definition |
|---|---|
| **Topic name** | Working title. Short. Tells you what the post is about. |
| **Description** | Two or three sentences explaining the angle and why the audience cares. |
| **Pillar** | One of the founder's 4-5 core content pillars. Every topic must belong to one. |
| **Perspective** | Contrarian, educational, authoritative, storytelling, behind-the-scenes, or hot take. The same topic written from different perspectives lands differently. |
| **Vehicle** | Thread, value tweet, doc screenshot, listicle, story post, longform. Pulled from a proven vehicle bank. |

This is policy as markdown. The content-engine equivalent of Lieben's [CLAUDE.md determinism test](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/#the-five-step-migration): if any of the five fields is missing, the agent can't produce, because the brief is underspecified. An enforceable contract on the input side, not a vibes check on the output side.

The middle field (perspective) is the one that earns its keep. The same topic ("why most founders fail at content") written as a contrarian hot take vs an educational breakdown vs an operator story lands differently. The strategist picks the perspective from past performance on that account. After two or three weeks, patterns emerge ("this founder's authoritative posts outperform storytelling 4-to-1") and the system doubles down.

This pattern is portable. You don't need WizOfEcom's stack: a markdown file per planned piece with those five fields, plus a rule that nothing gets drafted until all five are filled. As [Anthropic's writing-effective-tools-for-agents post](https://www.anthropic.com/engineering/writing-tools-for-agents) argues, the format of the input determines the floor of the output.

Five fields is also the right number. Specific enough to constrain bad output, small enough to fit in a strategist's head. Three fields is a tweet. Ten is an enterprise PRD nobody fills in.

# The 7 content styles

The system runs seven specific styles across every client, with an intentional weekly mix.

| Style | Job | Notable claim |
|---|---|---|
| **Conviction posts** | Strong opinions. Lines in the sand. Polarize on purpose. | The point is to filter your audience, not optimize for engagement. |
| **Story posts** | Founder's journey, failures, lessons, behind-the-scenes. | "People connect with people." Trust-building. |
| **Midas posts** | Results and case studies. Client wins, revenue numbers, screenshots. | **3 per week. No CTA. Just flex.** Specific tactical claim. |
| **Doc posts** | Frameworks, systems, checklists formatted as doc screenshots. | "Algorithm-friendly, high saves, bookmark machines." Designed for the bookmark metric. |
| **Hot takes** | Industry opinions against conventional wisdom. | Conversation starters. |
| **Vulnerability posts** | Real moments of struggle, failure, uncertainty. | "Not manufactured vulnerability." Stated guardrail. |
| **Transformation posts** | Before/after journeys from problem to solution. | The case-study format generalized. |

Two things to note. First, **3 Midas posts a week with no CTA** is a specific commitment: spend a third of your weekly output flexing client results without asking for the sale. Most agencies can't resist a CTA. Testable on Mubbu's own feed (he posts results screenshots regularly), though the per-client ratio across 30+ clients is internal.

Second, the **doc posts are explicitly designed for bookmarks** — the format that landed Mubbu's own May 3 post 2,848 bookmarks. The thread is a doc post about doc posts. Self-demonstrating evidence that the system runs on his own feed.

The 7 styles are not novel — Justin Welsh, Sahil Bloom, and a dozen others publish similar taxonomies. What's different is the orchestration: each style has a defined slot in the weekly mix, evaluated by the Performance Agent against historical engagement on that account. Taxonomy is industry-standard; the orchestration is the agency's product.

# What's verifiable, what isn't

Same audit lens as the [ColdIQ stack post](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/). Take each load-bearing claim. Mark it 🔴 unverifiable, 🟡 partially verifiable, or 🟢 verified.

| Claim from the post | Status | Notes |
|---|---|---|
| "30+ founders, $1M-$700M/yr on the done-for-you roster" | 🔴 | No public client list. The bio repeats the number. Plausible at agency scale, not falsifiable from outside. |
| "180+ founders through our programs" | 🔴 | No public roster, no testimonial wall I could find on the agency site. |
| 5-agent architecture (Client Brain, Performance, Trend Hunter, Vehicle, Brand Guideline) | 🟢 | Architecturally consistent with the [Anthropic effective-agents canon](https://www.anthropic.com/research/building-effective-agents). Forkable in a weekend. The picture is real even if the implementation is opaque. |
| 8-step weekly loop with data review and reset | 🟡 | Architecturally sound. The reset step requires data plumbing (X/LinkedIn analytics → structured store) that the post does not show. Architecture verified, plumbing not. |
| 5-field topic structure (name, description, pillar, perspective, vehicle) | 🟢 | This is portable as a framework. Adoptable today without WizOfEcom's stack. The framework is real. |
| 7-content-style taxonomy | 🟡 | Industry-standard categories. The intentional weekly mix is the agency's claimed product. |
| "3 Midas posts per week, no CTA" | 🟡 | Specific testable commitment. Spot-checking Mubbu's own feed shows results screenshots posted regularly. Whether the 3-per-week ratio holds on every client account is internal. |
| "Theme page averaging 100K+ views per shoutout, 400-1,000 new followers per feature" | 🔴 | Theme page not named in the post. WizOfEcom-adjacent theme accounts on X exist but per-shoutout view counts and follower-uplift numbers are not publicly aggregated. |
| Vehicle Agent tracks "68+ content vehicles" | 🔴 | No public skill library, no published vehicle bank, no GitHub repo. Lieben has [sachacoldiq/ColdIQ-s-GTM-Skills](https://github.com/sachacoldiq/ColdIQ-s-GTM-Skills) (98 SKILL.md files, public). Mubbu has nothing comparable. |
| "None of it sounds like AI" | 🔴 | Marketing claim. Algorithm-optimized formats (doc screenshots, listicles, hot takes) are themselves recognizable as AI-shaped content because they're literally the formats AI is best at producing. The pitch hinges on the rhetoric here, not on a verifiable property of the output. |
| "One founder asked one question, booked a sales call the next day, closed before the program even started" | 🔴 | Single anecdote framed as system proof. Real event, plausibly true, not predictive. Same selection bias as a YC application's "warm intro closed our seed in 48 hours." |
| "Compound effect: every week the system gets smarter" | 🟡 | Compounds in principle (closed-feedback architecture supports it). Whether it compounds in practice depends on the quality of the data ingestion (step 8) which the post does not show. |
| Tweet metrics (1,243 likes, 2,848 bookmarks, 170,695 impressions) | 🟢 | Captured live on May 5. Save-to-like ratio is **2.29x**, almost identical to Lieben's 19-API drop at 2.25x. The artifact landed. |

That's the audit. Three 🟢 verified rows (architecture is real, framework is portable, the post landed). Three 🟡 partial rows (loop is sound but plumbing is opaque). Six 🔴 unverifiable rows (every roster number, the theme-page claim, the vehicle library, the rhetorical close, the testimonial). The architecture-is-real / proofs-are-gated split is the same pattern the [ColdIQ audit](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/) found. Both posts are operator-saving signal documents. Both are mostly architecture, lightly evidenced.

# The skill-repo gap

![Two hexagonal artifacts side by side, the left under an open lock in sepia, the right under a closed padlock in editorial red.](/post-images/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/gated-vs-open.jpg)

This is the cleanest difference between Mubbu and Lieben. Lieben publishes [`sachacoldiq/ColdIQ-s-GTM-Skills`](https://github.com/sachacoldiq/ColdIQ-s-GTM-Skills) (98 SKILL.md files, Anthropic-spec compliant, public). The repo is both a marketing primitive (fork it into your own Claude Code) and an inbound funnel (star, read, book a call). The [480-repo marketing-skill landscape](/posts/2026-05-05-marketing-skill-cluster-github-480-repos-four-gaps/) covers the broader open-source genre.

Mubbu is in the gated camp. No public WizOfEcom skill repo, no published topic-structure template, no SKILL.md to fork. The post is the artifact. The agency is the gate. Booking a sales call is the only way through.

If you're choosing which model to copy: the open model has higher distribution ceilings (forkers become evangelists) and lower conversion floors (some forkers never pay). The gated model has higher conversion floors per inbound lead and lower distribution ceilings (you can't go viral on a private artifact). ColdIQ's mix tilts to implementation, so they open-source. WizOfEcom's is done-for-you, so they gate. Strategy lines up with revenue model.

# Why personal-brand operations is the right vertical for this

Content production tolerates AI variance better than sales does. A slightly off cold email burns the lead. A slightly off conviction post just doesn't go viral that day, in a feed of fifty. The Brand Guideline Agent in Mubbu's stack is the variance-reduction step the system needs, and it's still imperfect. A founder posting eight pieces a week can absorb one or two flat performers. Sales cannot.

This is also why the *none of it sounds like AI* claim is rhetorical. The formats Mubbu lists (doc screenshots, listicles, hot takes, before-after frameworks) are AI-shaped formats. The audience doesn't need the content to *not sound like AI*; it needs the content to be useful and to feel like the founder. The Brand Guideline Agent enforces *feels like the founder*. The format can sound like AI as long as the perspective is unmistakably the founder's. That's a defensible position, but not what the marketing copy says.

[Anthropic's effective-context-engineering write-up](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents) makes the right framing: you constrain output through context, not prompt cleverness. The Client Brain is the context. The strategist plus the 30-minute interview keeps it current. The architecture produces the founder-voice, not any individual prompt. That's a more honest framing than "doesn't sound like AI."

# The compound claim

Mubbu closes the post with an anecdote. *"One founder in our program asked me a single question before it even went live. He implemented the advice. Booked a sales call the next day. Closed. His investment was already made back and the program hadn't even started yet."*

Treat this the way you'd treat any single-point testimonial: real event, plausibly true, not predictive. Same selection bias as a YC application's "warm intro closed our seed in 48 hours." The agency leads with the maximum tail outcome reframed as a system claim, not the median. Normal marketing move. Not evidence that the system compounds.

What would be evidence: a quarterly cohort report on follower growth, qualified-call counts, and program retention across the 30+ active clients. Lieben doesn't publish this either. Most agency case-study walls are anecdote-driven. Industry-wide problem.

The compound claim *is* defensible at the architecture level. A loop with a working reset step compounds by construction. Whether the magnitude is meaningful depends on data plumbing (gated) and the founder showing up for the 30-minute interview every week (gated by the founder, not the agency). Weakest input is the human side.

# The bookmark ratio matters

![Two rows of icon glyphs on charcoal: top row of cream hearts, bottom row of editorial red bookmark flags more than twice as dense.](/post-images/2026-05-03-wizofecom-5-agent-personal-brand-content-engine-audited/bookmark-ratio.jpg)

Mubbu's post: 1,243 likes, 2,848 bookmarks, **save-to-like = 2.29×**. [Lieben's 19-API drop](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/) the next day: 2.25×. Two operators, two adjacent verticals, the same week, the same ratio. The audience for an agency operating system is small (mid-market founders and other agency operators who want to fork the playbook), but conversion intent inside that audience is high. That's why both Mubbu and Lieben publish these, and why the format is durable: the X long-form is the new white paper.

# What to bookmark if you're an operator

🔴 **The 5-field topic structure is the cleanest content-policy framework I've seen anyone publish.** Adopt it today regardless of which AI tools you use. A markdown file per planned piece with `name → description → pillar → perspective → vehicle`, with a hard rule that nothing gets drafted until all five are filled. That's the entire framework. It's portable, it's enforceable, it's the bottleneck-converter that turns a vague brief into something an agent or a human writer can execute on.

🟡 **The 7-content-style mix is a good ratio to test against your weekly output.** Not a recipe, a diagnostic. Look at your last 30 posts. How many are conviction, how many are story, how many are Midas (results), how many are doc, how many are hot take, vulnerability, transformation? If 25 of 30 are doc posts and listicles, you have a depth problem. If 25 of 30 are conviction posts, you have a polarity problem. The taxonomy is the audit tool. Whether you adopt the *3 Midas / week, no CTA* discipline specifically is up to you, but the ratio diagnostic is the genuinely useful artifact.

🟢 **The 5-agent architecture is teachable canon.** Whether you build it on Claude Code with Skills, on n8n with MCP, or on a Google Doc with discipline, the agents are: knowledge base, performance/eval, trend/signal, format selection, brand QA. ColdIQ's stack has a different shape and lands on the same five capabilities. WizOfEcom's stack lands on the same five capabilities. The Anthropic effective-agents paper lands on the same five capabilities. That's the canon. If you're building any system that produces personalized content at scale, those are the five workers you need. The implementation choices around them are mostly cost and runtime preference.

**Read the picture as a parts inventory, not a recipe.** Neither Mubbu nor Lieben publishes the actual prompts, data plumbing, or analytics dashboards. You won't run their system from their post. You'll learn the right shape, then build your own. Same as a Wired feature article: you don't get the source code, you get the schematic.

# Same flywheel, different gate

ColdIQ runs the open variant: skills public on GitHub, architecture partially forkable, agency captures the residual that's too painful to reproduce. WizOfEcom runs the gated variant: nothing forkable, the artifact is the X post and nothing else, the agency captures everything because the only path through is the call. Both work. The choice tracks revenue model: ColdIQ's mix tilts to implementation, WizOfEcom's is done-for-you.

The four posts in this series frame one observation: in May 2026, the most-bookmarked B2B operator content on X is architectural posts from agencies showing how their AI runtime works ([ColdIQ's 19-API map plus the playbook underneath](/posts/2026-05-04-coldiq-19-api-claude-code-gtm-stack-audited/), [the 480-repo marketing landscape](/posts/2026-05-05-marketing-skill-cluster-github-480-repos-four-gaps/), Mubbu's 5-agent stack). The runtime is commoditizing. The operating system is what's defensible. The X post is the spec sheet. The agency is the integrator.

The picture is real. The proofs are gated. Audit the architecture. Pick the framework you can adopt today (Mubbu's 5-field topic structure is the strongest). Don't mistake the picture for the proof.

## Sources

- [WizOfEcom — A complete breakdown on how to use AI to become the most recognized founder in your industry in just 45 minutes a week (X)](https://x.com/wizofecom/status/2050988532806701415)
- [WizOfEcom (Mubbu) on X](https://x.com/wizofecom)
- [Anthropic — Building Effective Agents (Schluntz, Zhang, Dec 2024)](https://www.anthropic.com/research/building-effective-agents)
- [Anthropic — Agent Skills spec](https://github.com/anthropics/skills)
- [Anthropic — Claude Code documentation](https://docs.claude.com/en/docs/claude-code/overview)
- [Andrej Karpathy — Software Is Changing (Again) — YC keynote](https://www.youtube.com/watch?v=LCEmiRjPEtQ)
- [Lieben — The Complete Guide to API-Led GTM (X long-form)](https://x.com/MichLieben/status/2051029582070141119)
- [Lieben — Run GTM from Claude Code with these APIs](https://x.com/MichLieben/status/2051286894206656782)
- [sachacoldiq/ColdIQ-s-GTM-Skills (GitHub)](https://github.com/sachacoldiq/ColdIQ-s-GTM-Skills)
- [ColdIQ — agency homepage](https://coldiq.com)
- [ColdIQ — The Tech Stack Behind Our $7M Funnel](https://coldiq.com/blog/the-tech-stack-behind-our-7m-funnel)
- [Anthropic — Claude Skills announcement](https://www.anthropic.com/news/skills)
- [Latent Space — Anthropic Skills with Mahesh Murag](https://www.latent.space/p/claude-skills)
- [Simon Willison — Claude Skills are awesome, maybe a bigger deal than MCP](https://simonwillison.net/2025/Oct/16/claude-skills/)
- [X algorithm GitHub — for-you ranking source](https://github.com/twitter/the-algorithm)
- [Why X bookmarks are the most important metric — Lindy AI](https://www.lindy.ai/blog/x-bookmarks-metric)
- [LinkedIn 2025 algorithm changes — Buffer](https://buffer.com/resources/linkedin-algorithm/)
- [Sahil Bloom on building a writing-driven personal brand](https://www.sahilbloom.com/newsletter/the-personal-brand-playbook)
- [Justin Welsh — The Saturday Solopreneur archive](https://www.justinwelsh.me/the-saturday-solopreneur)
- [Anthropic — Introducing the Model Context Protocol (Nov 2024)](https://www.anthropic.com/news/model-context-protocol)
- [Anthropic — Effective Context Engineering for Agents](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents)
- [Boris Cherny on Lenny's Newsletter — Head of Claude Code](https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens)
- [Lieben — Hermes Agent pivot (X)](https://x.com/MichLieben/status/2051708750764105788)
- [Tweet Hunter — bookmark vs like ratio analysis](https://tweethunter.io/blog/bookmarks-on-twitter)
- [Anthropic Engineering — Writing Effective Tools for Agents](https://www.anthropic.com/engineering/writing-tools-for-agents)
- [Karpathy — Software 3.0 talk write-up](https://karpathy.bearblog.dev/agentic/)
- [OpenAI — A Practical Guide to Building Agents (PDF)](https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf)
- [Greg Eisenberg — Personal brand as the moat for solopreneurs](https://www.greg.io/p/personal-brand-as-moat)
- [Adam Robinson — RB2B less-than-one-man machine (X)](https://x.com/RetentionAdam/status/2050612827832918388)
- [Anthropic Skills — example library on GitHub](https://github.com/anthropics/skills)
- [Stratechery — The Distribution Era](https://stratechery.com/2024/the-distribution-era/)

---

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Site: https://www.thedeepfeed.ai
Full corpus: https://www.thedeepfeed.ai/llms-full.txt