Zac OBryant
17 posts
Zac OBryant
@ZacObryant
Sports fan who got tired of waiting for the right app, so I’m building it. Founder of Pulse. AI enthusiast. Dad. Med Dev engineer.
Columbus, MS Katılım Kasım 2025
530 Takip Edilen18 Takipçiler
After building 250+ apps and scaling a full AI agency, I turned everything into a system where agents do the work and humans just review.
I'm giving away the full playbook.
This is the exact infrastructure we use to send client proposals, draft emails, and run routines without a human touching the keyboard.
What's inside:
- Brain folder architecture (brain, brand, clients, SOPs, decisions)
- README .md routing prompt that saves hours every week
- Skill chain template (website, copy, QA)
- Global "skill that creates skills" prompt
- Proposal skill chain example end to end
- Routines and cron templates for self-maintaining context
- Tracing log template so your agent learns from every run
Comment "NATIVE" and follow. I'll DM it to you.
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@TaskletAI @ycombinator This is awesome. Can it work in a highly regulated environment like medical device?
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We've built 40+ AI agents and internal tools. The hardest part is Context Creation.
AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop.
Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools.
As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions.
We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context.
Here's how it works:
We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it.
Then our FDE Factory Agents builds in their expertise in minutes:
> Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec
> Scope Agent checks the spec against the development roadmap, validates it, and hands it off
> Engineering Agent builds a new feature and wires the integration
> QA Agent runs tests to prove to itself it works
> PR merges, feature goes live, product updates itself in real time
It's like the nontechnical stakeholder wrote the code without even knowing it.
Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers.
But nontechnical people are capped on what they can build without product people and engineers.
The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production.
Context Creation is the first and most important step in our FDE lifecycle, and we just automated it.
Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise.
PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.
Mike Fishbein@mfishbein
After 40+ forward deployed engineering (FDE) engagements, we learned the hardest part of building AI agents and tools is Context Extraction. FDE sounds like an engineering role. It's actually 3 jobs in one: • Consulting - where in the business to build • Product - what to build • Engineering - how to build Coding is the easy part now thanks to Claude Code, @cursor_ai, and other coding agents. The hard part is everything before the code. Extracting context from clients who have it scattered across people and tools. And creating context when it doesn't exist at all. Then using that context to figure out what to build, and work with AI on architecture and development plans. FDEs turn the chaos and unknowns within every company into shipped AI applications. That's why every major AI company is building an FDE arm. OpenAI and Anthropic recently raised $5.5B for theirs. Cursor and others have several open FDE job listings. But their returns won't come from service revenue. They'll come from tokens and subscriptions. Service revenue doesn't matter to VCs, only tech revenue does because it's more scalable. Here's how FDEs make coding agent companies trillion dollar companies: Cursor and Claude Code are currently focused primarily on the professional engineer market. But the total addressable market (TAM) for coding agents is infinite because almost every job benefits from code. It just used to be too expensive. FDEs are the bridge from the technical market to the non-technical market, which is far larger. Every coding agent and LLM company will eventually automate and productize their FDE teams though. So we decided to replace ourselves before someone else does: • Voice agents run discovery interviews to find problems, map workflows, and extract expertise to train agents on • Cloud agents build prototypes, make demo videos, and collect feedback • Consultant sub-agent prioritizes AI use cases by business impact vs engineering effort The next most valuable problem for coding agent and LLM companies to solve is figuring out where to build, what to build, and how to build. Context is the solution. So if you can figure out how to extract and create context, you can make a ton of money. Coding agents can take it from there.
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Zac OBryant retweetledi
@CallosumAI is hiring in London!
We're building the infrastructure for heterogeneous compute - making many models, on many chips, behave as a single coherent, co-evolving system.
Five MTS roles open across the AI infra stack. Link below!
GIF
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@tdinh_me First time using Cursor with Composer yesterday. Asked it to build a simple kanban web app and gave it an Agents . md for instructions. Locked up my computer when I tried to test it. No idea what happened just quickly uninstalled cursor and deleted everything.
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Zac OBryant retweetledi
> random app copies an existing profitable company
> rips their website 1:1
> design, testimonials, everything
> has zero users
> raised $30 million??
ai vcs funding cheap clones is even more retarded than crypto
Avi Patel@avipat_
General Catalyst just co-led a $31.5 million seed round into a blatant rip-off of my company, Kled. (skip to 40 seconds if you want to skip context) I would typically not speak on things like this, but this level of blatant copycatting is egregious and completely unacceptable, and needs to be made an example of. This is one of hundreds of YC startups who have conducted this disgusting behavior. Unimaginative slop that continues to get rewarded due to nepotism.
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Zac OBryant retweetledi
Introducing Adaptive Computer.
We put AI inside of an always-on personal computer that it uses to get work done.
Schedule agents. Create software. Automate anything.
As part of the launch, we’re giving one free month of Adaptive to users.
Retweet, like, and comment ‘Adaptive’ to get it.
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Zac OBryant retweetledi
I am excited to announce Mind Robotics’ $500M financing, co-led by @Accel and @a16z!
Mind is focused on building the world’s leading industrial robotics platform, capable of performing dexterous, variable, and reasoning-intensive tasks. Existing industrial robotics can perform repeatable, dimensionally stable tasks, but a large share of industrial value-add work requires human-like dexterity, adaptation, and physical reasoning that classical robotics cannot address.
We are building AI-powered robots—models, hardware, and deployment infrastructure—that will perform real tasks, in real plants, at real scale.
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Everyone is hyped about Claude... but barely anyone knows how to actually use it to make real money.
I used it to write a 90-page eBook. It now makes me $3,000 per month.
I’ve put 5+ hours of video breaking down my exact system and prompts that turn Claude into a full-blown eBook writing machine.
Comment “AI” and I’ll DM you everything.
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I should charge $199 for this.
But I’m giving away my full N8N Automation Mastery Guide completely free.
Inside you get:
→ 50+ ready-to-run automation workflows
→ Step-by-step mini-course to master n8n
→ Advanced AI + n8n prompts & agent setups no one shares
n8n is the future of AI automation.
This guide gives you an unfair advantage — build systems that work while you sleep.
Like + comment “n8n” and I’ll send it to you.
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3 THINGS YOU NEED TO BUILD IMMEDIATELY WITH OpenClaw:
1. Activity feed
2. Calendar
3. Global search
All 3 will super power your workflow
• Activity feed actively tracks everything your OpenClaw does. This is critical, because if you have it working autonomously, this will give you insight into EVERY SINLGE THING it does, to make sure it's not wasting tokens
• Calendar lets you see all of OpenClaw's scheduled tasks. Now you can verify when it's going to work proactively for you. Also will let you know when it has scheduled tasks you might not want it to do anymore, saving more tokens
• Global search allows you to search through ALL of OpenClaw's memories, tasks, documents and past conversations. OpenClaw has such incredible memory, but no interface to view any of it. Now you can search through it easily and find old nuggets you talked about.
Steal this prompt to get it all installed:
"I want you to build out 3 things for me. In a Mission Control dashboard, build out an activity feed first. This activity feed will record EVERY SINGLE THING you do for me, so I can see a history of every action and and task you've completed. I want a calendar view that shows me in a nicely formatted screen every scheduled task you have in the future in a weekly view. And I want a global search where I can search for any term and you display any relevant memory, document, or task from our workspace. Use NextJS as the framework, Convex as the database, and Codex to code it all out"
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I turned $100 into $1,000,000+ in a month with my strategy
i charge $0/month
i will never charge anyone a penny
i made a FREE PDF file which retired many and teaches you my exact strategy
Like + Comment “$SPY” and I’ll send it you
(must be following to DM) $SPY $SPX
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I'm officially starting the $500 to $1 Million account challenge for 2026 tomorrow! 📈
I'm going to retire dozens in 2026 and will change lives 🙌
Like & comment "11 Flips" to join! ❤️
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How Many National Championships does Each College Football Playoff Team Have?
-Alabama 18
-Ohio State 9
-Oklahoma 7
-Miami 5
-Georgia 4
-Ole Miss 3
-Texas A&M 3
-Texas Tech 0
-Indiana 0
-Oregon 0
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