Founder Growth

Reddit Marketing for AI Startups: The 4-Subreddit Stack

Q: How often should an AI startup post on Reddit?

One post per sub every two weeks for the first 45 days, totaling six posts across the four-sub stack. By day 60 you will see one sub returning 3-5x the engagement of the others, double down there to two posts per month, drop the losers to monthly. Posting daily in any single sub looks like marketing and gets shadow-banned by mods; the slow cadence is the trust mechanism.

Q: What kind of Reddit post works for an AI tool launch?

Three formats win consistently. (1) A 600-1,200 word use-case writeup with code, real numbers, and what did not work, best for r/OpenAI and r/LocalLLaMA. (2) A 200-500 word hot-take with one sharp contrarian claim, best for r/AI_Agents and r/OpenAI. (3) A failure post-mortem describing what you stopped building and why, hardest to write and highest signal density across all four subs.

Q: How long until Reddit drives real pipeline for an AI startup?

Realistically 60-90 days from first post to first traceable inbound DM that converts. The compounding shows up later, strong Reddit threads from month two are still surfacing in Google evaluation searches in month six and beyond. Treat the first 90 days as relationship-building investment; the channel pays back through 12-month evergreen ranking, not week-one conversion spikes.

The 4-subreddit stack AI startups should run in 2026: r/MachineLearning, r/OpenAI, r/LocalLLaMA, r/AI_Agents, verified counts + 90-day cadence.

Forkoff Team•April 22, 2026•11 min read

The 4-SUBREDDIT STACK

The 4-SUBREDDIT STACK is the high-signal Reddit channel mix FORKOFF runs for AI founders. Four target subreddits, 60-90 day community-first lurk, then problem-process-proof comments. Reddit is the highest-intent surface but also the most reputation-fragile.

Industry Context

Across the FORKOFF Outbound Ledger 2026 (n=10,847 sequences), Reddit-sourced inbound conversations close at 2-4x the rate of cold-DM outbound, and the FORKOFF Founder-Funnel Cohort 2026 shows community-first founders earn 30-karma threshold inside 21 days at low ban risk.

Source: FORKOFF Outbound Ledger 2026, n=10,847

_AI buyers do not click ads to evaluate AI tools._ They open Reddit, search the model name plus "vs" or plus "actually", and read three threads of strangers fighting about whether your tool is real before they ever land on your site. That is not a marketing channel. That is the buyer's evaluation surface, and most AI startups have ceded it to whoever happens to be loud that week.

The startups compounding on Reddit in 2026 are not posting promos. They are showing up consistently across four specific subs with three specific content formats per sub, and tracking outcomes the way a developer relations team would. The numbers below are pulled live from Reddit's public JSON endpoints on 2026-04-22, and the example posts cited are the actual top-of-week threads in each community. No estimates, no "around 3M members", no scraped 2024 stats.

This post does three things. First, it names the four subs that matter for AI tooling and why each one matters. Second, it gives the three content formats that actually convert in each sub, with real top-week examples. Third, it lays out the 90-day cadence FORKOFF uses when we run Reddit growth for AI clients, including the moment to escalate from posting to mod relationships and the disqualifying signs that mean Reddit is not your channel.

[

!Alpha Batcher

Alpha Batcher

@alphabatcher

How to find startup ideas for $10K MRR in 10 minutes: Real money is where real pain exists Reddit is a goldmine of unfiltered complaints 500M+ users openly share what frustrates them about the products they use every day Full process: - choose a niche (r/marketing, r/freelanc… Show more

![](https://pbs.twimg.com/amplify_video_thumb/2037568185432670209/img/6wiuPw0Lle8FCFOy.jpg)

](https://x.com/alphabatcher/status/2037834407495561530)

The Four-Sub Stack (with Verified 2026-04 Subscriber Counts)

Reddit traffic for AI products clusters in four communities. Below are the live counts, what each one is actually for, and the kind of post that earns front-page in 2026.

r/MachineLearning (3.04M subscribers) is the research-tier sub. The audience is academic + applied ML, with a high tolerance for technical depth and a low tolerance for marketing. Top-week threads as of 2026-04-22 include "Failure to Reproduce Modern Paper Claims \[D\]" (185 upvotes, 49 comments) and "Are we optimizing AI research for acceptance rather than lasting value? \[D\]" (101 upvotes). The flair tags (\[R\] research, \[D\] discussion, \[P\] project) are enforced by mods and signal intent.

r/OpenAI (2.72M) is the product-tier sub. The audience is ChatGPT power users, OpenAI API consumers, and AI-curious operators. Tone is more emotional and less technical than r/MachineLearning. The current top-week post is the meme "Friends outside of tech: lol copilot is dumb. Friends in tech: I just bought iodine table" (1,593 upvotes), which tells you the sub rewards relatable framing as much as technical content.

r/LocalLLaMA (695K) is the practitioner-tier sub. The audience is people running models on their own hardware. The top-week threads are model releases ("Qwen3.6-35B-A3B released!" at 2,241 upvotes, "Kimi K2.6 Released (huggingface)" at 866 upvotes) and switching narratives ("Claude Code removed from Claude Pro plan - better time than ever to switch to Local Models" at 1,177 upvotes). If your AI product runs locally or has a local mode, this is the sub that decides whether you are real.

r/AI\_Agents (346K) is the builder-tier sub. The audience is developers shipping agentic systems. Top-week threads include opinion pieces ("Hot take: the biggest bottleneck in AI agents right now isn't models, frameworks, or even prompts...", 96 upvotes) and unflinching post-mortems ("Why I Stopped Building Autonomous Agents for Clients", 44 upvotes, 35 comments). It is the smallest of the four and the most closely-knit, so a single thoughtful post lands harder per impression.

[

r/AI\_Agents• u/Agnostic\_naily

From 0 to $180k/year saved: my first enterprise automation win taught me everything about AI workflows

Eight months into running my automation agency, I landed a client that changed how I think about what this work is actually worth. 47-employee e-commerce brand. Shopify + HubSpot + a warehouse system from 2019 that no one had touched since the pandemic. Their fulfillment team was three people, 60… Show more

](https://reddit.com/r/AI_Agents/comments/1so0vtw/from_0_to_180kyear_saved_my_first_enterprise/)

Three Content Formats Per Sub (and Why Each Wins)

The mistake most AI startups make is shipping the same post across all four subs. The format that earns 2,000 upvotes in r/LocalLLaMA gets removed in r/MachineLearning for missing the \[R\] flair. Match the format to the sub.

Use-case writeups (best for r/OpenAI, r/LocalLLaMA)

A 600-1,200 word post describing how you solved a specific problem with the model and tooling. Code snippets, real numbers, total cost, and the part that did not work. The format wins because it gives the reader something to copy. Across our 2026-04 sample of top-week posts in these two subs, use-case writeups had a median of 1,180 upvotes, the highest of any format. Comments-per-upvote ratio was the lowest at 0.32, which means readers nod and move on rather than debate. Profile clicks happen quietly.

Hot-take or debate threads (best for r/AI\_Agents, r/OpenAI)

A short post (200-500 words) that takes a contrarian position with a single sharp claim. "Hot take: the biggest bottleneck in AI agents right now isn't models, frameworks, or even prompts..." is the archetype. Median upvotes are lower (720 in our sample) but comments-per-upvote is 0.55, so the conversation is denser and the writer gets profile clicks from people who want to argue. AI buyers DM after they see how you think, not what you ship.

Failure post-mortems (best for r/AI\_Agents, r/LocalLLaMA, r/MachineLearning)

The hardest format to write and the one with the highest signal density. Median upvotes are lowest at 540, but comments-per-upvote is 0.78 and profile-click conversion is the strongest because credibility transfers when an operator publicly admits what did not work. "Why I Stopped Building Autonomous Agents for Clients" is the canonical 2026-04 example in r/AI\_Agents. "Failure to Reproduce Modern Paper Claims \[D\]" is the same archetype in r/MachineLearning. Your competitors will not write these. That is exactly why they work.

Why Reddit compounds for AI startups specifically

AI buyers Google a model or framework name plus "reddit" before they trust a vendor's marketing site. Reddit posts rank on Google for product-evaluation queries indefinitely, a strong r/LocalLLaMA writeup from January 2026 still ranks in April for the same long-tail terms. The compounding layer means one well-placed thread becomes evergreen pipeline. Paid AI ad campaigns die the moment the budget stops; a single 1,000-upvote Reddit thread from a real builder keeps surfacing in evaluation searches for the entire life of the product.

Source: FORKOFF audits, 12 AI client engagements, 2025-Q4 to 2026-Q1

The 90-Day Operating Cadence

Reddit is a relationship channel masquerading as a content channel. The cadence below is what FORKOFF uses with AI clients in their first 90 days. It is intentionally slow.

Days 1-14: Read-only ramp

Read every top-week post in all four subs for two weeks. Take notes on which posters are credible, which mods are active, which days of the week each sub is busiest. Do not post. The cost of a single anti-marketing reaction in week one is six months of regaining trust.

Days 15-45: One post per sub per two weeks

Six posts in the first month-and-a-half, distributed across the four subs. Match the format to the sub (use-case writeup for r/OpenAI, model release or local benchmark for r/LocalLLaMA, \[D\] discussion or \[R\] release for r/MachineLearning, hot-take or post-mortem for r/AI\_Agents). Reply to every substantive comment within four hours. Track upvotes, comments, profile clicks, and DMs in a single spreadsheet.

Days 46-90: Double down or pivot

By day 60 you will have a clear winner, usually one sub that returns 3-5x the engagement of the others for your specific product. Double down there: ship two posts per month in the winning sub, drop to monthly in the losers. Begin a mod-direct relationship in the winning sub by sending one polite DM thanking the mods for keeping the sub useful. Do not pitch anything in that DM.

By day 90 you should have one sub where your username is recognizable and one Google-ranked Reddit thread for an evaluation query in your product category. That is the asset. Everything from there compounds.

!How I use Reddit and AI to find winning startup ideas

[

How I use Reddit and AI to find winning startup ideas

Greg Isenberg

](https://www.youtube.com/watch?v=8vXoI7lUroQ)

Greg Isenberg walks through using Reddit + AI to surface startup ideas in real time. The same intent-mining mechanic this stack productionizes.

By application · Selective on ICP

Get our 4-sub Reddit ramp template for AI startups

Get the FORKOFF starter pack: read-only research template, 6-post-in-45-days calendar, comment library tuned per sub. Priority-sub map in 48 hours.

1. 01Sandbox
2. 02Engagement
3. 03Compound

By application

[

Run the diagnostic

](/audit?src=blog-mid-reddit-ai)[

Talk to a strategist

](https://calendly.com/jk-forkoff/30min)

When Reddit Does NOT Work for AI Startups

Three honest disqualifiers. We have turned down a handful of AI engagements at FORKOFF where Reddit was the wrong investment, and the pattern is consistent.

1. You sell to Fortune-500 procurement, not developers. If your buyer is a CIO with a 9-month procurement cycle and a $500K minimum contract, Reddit will not source that sale. The buyer is not in r/MachineLearning. Reddit works best for AI tools sold bottom-up to practitioners and engineering managers, with deal sizes from $50/mo seats up to about $50K ACV.
2. Your product is closed-source and you cannot show internals. Reddit's AI subs heavily reward transparency: model architecture details, eval methodology, cost numbers, what failed. If your legal team blocks every interesting technical disclosure, you will produce posts that read as marketing and get downvoted on impact. Either negotiate a disclosure budget with legal before starting, or pick a different channel.
3. You will not let a real engineer post under their real name. Anonymous corporate accounts ("OpenAcmeAI\_Official") get banned or ignored in all four subs. The mechanic works because a real builder shows up with a real GitHub link and a real opinion. If your founder will not, and your engineers cannot, Reddit will not work.

One more honest note. Reddit is not just where evaluation conversations start, it is where existing AI customers complain three weeks before they churn. Monitoring your own product name across the four subs (free via F5Bot or paid via Syften) is table stakes the moment you have paying customers, not a nice-to-have for later.

The Bottom Line

The four subs are r/MachineLearning, r/OpenAI, r/LocalLLaMA, and r/AI\_Agents. The formats are use-case writeups, hot-take debates, and failure post-mortems. The cadence is read-only for two weeks, six posts in the next thirty, double down on the winner from day 46. The disqualifiers are top-down sales motions, closed-source products with no disclosure budget, and any setup where a real human cannot post under a real name. Everything else is execution.

Most AI startups skip Reddit because the math is opaque and the upside is delayed. The startups compounding in 2026 understand the math is exactly what makes the channel lower-cost. Buyers are searching, threads are ranking, and your competitors are too embarrassed to write the failure post-mortem you should have shipped two weeks ago.

Related FORKOFF reads: agent-native GTM stack, AI DevRel playbook, Founder Funnel OS, VC Portfolio GTM, Agent-Ready Site Audit. References: OpenAI, Reddit, ChatGPT.

For the full picture, see the founder-led growth playbook.

For deeper cross-pillar context, see the founder-funnel content patterns that pre-warm Reddit replies.

By application · Selective on ICP

Run a real Reddit motion for your AI startup

FORKOFF runs managed Reddit growth for AI startups across the 4-sub stack. Map, prioritize, ship first six posts with you, hand off a 90-day playbook.

1. 01Sandbox
2. 02Engagement
3. 03Compound

By application

[

Run the diagnostic

](/audit?src=blog-end-reddit-ai)[

Talk to a strategist

](https://calendly.com/jk-forkoff/30min)

reddit marketingAI startup marketingdeveloper marketingcommunity marketingoriginal-research

!Forkoff Team

Forkoff Team

[](https://x.com/officialforkoff)[](https://www.linkedin.com/company/officialforkoff)[](https://forkoff.xyz)

Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native. Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native.

Contents

The 4-SUBREDDIT STACK
The Four-Sub Stack (with Verified 2026-04 Subscriber Counts)
Three Content Formats Per Sub (and Why Each Wins)
Use-case writeups (best for r/OpenAI, r/LocalLLaMA)
Hot-take or debate threads (best for r/AI\_Agents, r/OpenAI)
Failure post-mortems (best for r/AI\_Agents, r/LocalLLaMA, r/MachineLearning)
The 90-Day Operating Cadence
Days 1-14: Read-only ramp
Days 15-45: One post per sub per two weeks
Days 46-90: Double down or pivot
When Reddit Does NOT Work for AI Startups
The Bottom Line

Tell us about your project

[

Talk to FORKOFF

](https://calendly.com/jk-forkoff/30min)

Frequently Asked Questions

Which subreddits should an AI startup post in first?

r/OpenAI (2.72M subscribers) and r/LocalLLaMA (695K) are the two highest-leverage subs for almost every AI tool. r/OpenAI is the product-tier audience evaluating ChatGPT and the OpenAI API for real workflows; r/LocalLLaMA is the practitioner audience running models on their own hardware. Add r/MachineLearning (3.04M) if your product is research-adjacent or open-source, and r/AI\_Agents (346K) if you ship agentic systems. Read for two weeks before posting in any of them.

How often should an AI startup post on Reddit?

What kind of Reddit post works for an AI tool launch?

Do Reddit ads work for AI startups?

How long until Reddit drives real pipeline for an AI startup?

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By application · 5 founder shows per quarter

Want THE FOUNDER FUNNEL OS run for your company?

FORKOFF installs the 4-block system in 60-90 days. Founder voice into compounding distribution.

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Talk to a strategist

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SEE OUR WORK

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FK · INTAKEOPEN

QuarterQ3 2026

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![FORKOFF](/)

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Managed, Measurable, Internet-Native.

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reddit marketingAI startup marketingdeveloper marketingcommunity marketingoriginal-research

Forkoff Team

Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native.

Contents

Tell us about your project

Talk to FORKOFF

Frequently Asked Questions

r/OpenAI (2.72M subscribers) and r/LocalLLaMA (695K) are the two highest-leverage subs for almost every AI tool. r/OpenAI is the product-tier audience evaluating ChatGPT and the OpenAI API for real workflows; r/LocalLLaMA is the practitioner audience running models on their own hardware. Add r/MachineLearning (3.04M) if your product is research-adjacent or open-source, and r/AI_Agents (346K) if you ship agentic systems. Read for two weeks before posting in any of them.

Rarely for B2B AI specifically. lower-cost impressions in AI subs do not translate to qualified clicks because the subreddit reader came to argue or learn, not to buy. Organic posts in the same subs convert higher because the reader self-selects by reading a thread, not by mis-clicking an ad. Use organic to seed the conversation; treat paid as a top-up only after one organic post is already ranking on Google for your evaluation query.

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Reddit Marketing for AI Startups: The 4-Subreddit Stack

The 4-subreddit stack AI startups should run in 2026: r/MachineLearning, r/OpenAI, r/LocalLLaMA, r/AI_Agents, verified counts + 90-day cadence.

Forkoff Team•April 22, 2026•11 min read

The 4-SUBREDDIT STACK

Industry Context

Source: FORKOFF Outbound Ledger 2026, n=10,847

[

!Alpha Batcher

Alpha Batcher

@alphabatcher

![](https://pbs.twimg.com/amplify_video_thumb/2037568185432670209/img/6wiuPw0Lle8FCFOy.jpg)

](https://x.com/alphabatcher/status/2037834407495561530)

The Four-Sub Stack (with Verified 2026-04 Subscriber Counts)

Reddit traffic for AI products clusters in four communities. Below are the live counts, what each one is actually for, and the kind of post that earns front-page in 2026.

[

r/AI\_Agents• u/Agnostic\_naily

From 0 to $180k/year saved: my first enterprise automation win taught me everything about AI workflows

](https://reddit.com/r/AI_Agents/comments/1so0vtw/from_0_to_180kyear_saved_my_first_enterprise/)

Three Content Formats Per Sub (and Why Each Wins)

Use-case writeups (best for r/OpenAI, r/LocalLLaMA)

Hot-take or debate threads (best for r/AI\_Agents, r/OpenAI)

Failure post-mortems (best for r/AI\_Agents, r/LocalLLaMA, r/MachineLearning)

Why Reddit compounds for AI startups specifically

Source: FORKOFF audits, 12 AI client engagements, 2025-Q4 to 2026-Q1

The 90-Day Operating Cadence

Reddit is a relationship channel masquerading as a content channel. The cadence below is what FORKOFF uses with AI clients in their first 90 days. It is intentionally slow.

Days 1-14: Read-only ramp

Days 15-45: One post per sub per two weeks

Days 46-90: Double down or pivot

!How I use Reddit and AI to find winning startup ideas

[

How I use Reddit and AI to find winning startup ideas

Greg Isenberg

](https://www.youtube.com/watch?v=8vXoI7lUroQ)

Greg Isenberg walks through using Reddit + AI to surface startup ideas in real time. The same intent-mining mechanic this stack productionizes.

By application · Selective on ICP

Get our 4-sub Reddit ramp template for AI startups

Get the FORKOFF starter pack: read-only research template, 6-post-in-45-days calendar, comment library tuned per sub. Priority-sub map in 48 hours.

1. 01Sandbox
2. 02Engagement
3. 03Compound

By application

[

Run the diagnostic

](/audit?src=blog-mid-reddit-ai)[

Talk to a strategist

](https://calendly.com/jk-forkoff/30min)

When Reddit Does NOT Work for AI Startups

Three honest disqualifiers. We have turned down a handful of AI engagements at FORKOFF where Reddit was the wrong investment, and the pattern is consistent.

1. You sell to Fortune-500 procurement, not developers. If your buyer is a CIO with a 9-month procurement cycle and a $500K minimum contract, Reddit will not source that sale. The buyer is not in r/MachineLearning. Reddit works best for AI tools sold bottom-up to practitioners and engineering managers, with deal sizes from $50/mo seats up to about $50K ACV.
2. Your product is closed-source and you cannot show internals. Reddit's AI subs heavily reward transparency: model architecture details, eval methodology, cost numbers, what failed. If your legal team blocks every interesting technical disclosure, you will produce posts that read as marketing and get downvoted on impact. Either negotiate a disclosure budget with legal before starting, or pick a different channel.
3. You will not let a real engineer post under their real name. Anonymous corporate accounts ("OpenAcmeAI\_Official") get banned or ignored in all four subs. The mechanic works because a real builder shows up with a real GitHub link and a real opinion. If your founder will not, and your engineers cannot, Reddit will not work.

The Bottom Line

Related FORKOFF reads: agent-native GTM stack, AI DevRel playbook, Founder Funnel OS, VC Portfolio GTM, Agent-Ready Site Audit. References: OpenAI, Reddit, ChatGPT.

For the full picture, see the founder-led growth playbook.

For deeper cross-pillar context, see the founder-funnel content patterns that pre-warm Reddit replies.

By application · Selective on ICP

Run a real Reddit motion for your AI startup

FORKOFF runs managed Reddit growth for AI startups across the 4-sub stack. Map, prioritize, ship first six posts with you, hand off a 90-day playbook.

1. 01Sandbox
2. 02Engagement
3. 03Compound

By application

[

Run the diagnostic

](/audit?src=blog-end-reddit-ai)[

Talk to a strategist

](https://calendly.com/jk-forkoff/30min)

reddit marketingAI startup marketingdeveloper marketingcommunity marketingoriginal-research

!Forkoff Team

Forkoff Team

[](https://x.com/officialforkoff)[](https://www.linkedin.com/company/officialforkoff)[](https://forkoff.xyz)

Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native. Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native.

Contents

The 4-SUBREDDIT STACK
The Four-Sub Stack (with Verified 2026-04 Subscriber Counts)
Three Content Formats Per Sub (and Why Each Wins)
Use-case writeups (best for r/OpenAI, r/LocalLLaMA)
Hot-take or debate threads (best for r/AI\_Agents, r/OpenAI)
Failure post-mortems (best for r/AI\_Agents, r/LocalLLaMA, r/MachineLearning)
The 90-Day Operating Cadence
Days 1-14: Read-only ramp
Days 15-45: One post per sub per two weeks
Days 46-90: Double down or pivot
When Reddit Does NOT Work for AI Startups
The Bottom Line

Tell us about your project

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Talk to FORKOFF

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Frequently Asked Questions

Which subreddits should an AI startup post in first?

How often should an AI startup post on Reddit?

What kind of Reddit post works for an AI tool launch?

Do Reddit ads work for AI startups?

How long until Reddit drives real pipeline for an AI startup?

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By application · 5 founder shows per quarter

Want THE FOUNDER FUNNEL OS run for your company?

FORKOFF installs the 4-block system in 60-90 days. Founder voice into compounding distribution.

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Talk to a strategist

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SEE OUR WORK

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Culture Studio for AI & Web3 Brands.

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Forkoff Team

Culture Studio for AI & Web3 Brands. Managed, Measurable, Internet-Native.

Contents

Tell us about your project

Talk to FORKOFF

Frequently Asked Questions

r/OpenAI (2.72M subscribers) and r/LocalLLaMA (695K) are the two highest-leverage subs for almost every AI tool. r/OpenAI is the product-tier audience evaluating ChatGPT and the OpenAI API for real workflows; r/LocalLLaMA is the practitioner audience running models on their own hardware. Add r/MachineLearning (3.04M) if your product is research-adjacent or open-source, and r/AI_Agents (346K) if you ship agentic systems. Read for two weeks before posting in any of them.