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4-6M DOLLARS. ROUGHLY WHAT THIS CLIFFSIDE RESIDENCE WOULD COST TO ACTUALLY BUILD. It starts with a mountain, shaped inside Revit's own site tools, floors and columns built level by level, human figures placed into the scene. From there the whole thing moves to 3ds Max for a full rebuild:... terrain, floors, materials, multiple camera setups, one render pass to finish it. Cliffside sites push the price up mainly through foundations and platforms that jut out over the drop, not finishes. That's most of where the 4-6M comes from. Built in Revit 2024, before MCP existed. Revit 2027 has it now, and Claude can read every element in a model like this in seconds, surfacing warnings and outliers.show more

Solvaix

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A three-story office build. The MEP coordination model behind it cost around $8,000 and caught 40 clashes before construction started. Kimi K3 can already read a model like this through Revit's official MCP: flag clashes, cross-check disciplines, nothing more, the server stays read-only. Point it at a community-built Revit MCP instead, and it edits directly: reroute a pipe, resize a duct, delete an element, through 138 exposed tools. That official-versus-community split doesn't exist in Blender. BlenderMCP, the standard connector, already builds and fixes the scene directly. No separate write-access workaround needed. More on that below.

A three-story office build. The MEP coordination model behind it cost around $8,000 and caught 40 clashes before construction started. Kimi K3 can already read a model like this through Revit's official MCP: flag clashes, cross-check disciplines, nothing more, the server stays read-only. Point it at a community-built Revit MCP instead, and it edits directly: reroute a pipe, resize a duct, delete an element, through 138 exposed tools. That official-versus-community split doesn't exist in Blender. BlenderMCP, the standard connector, already builds and fixes the scene directly. No separate write-access workaround needed. More on that below.

Solvaix

10,904 просмотров • 16 дней назад

A CLASH CAUGHT IN THE MODEL COSTS $500. THE SAME CLASH CAUGHT ON SITE COSTS $17,000. A NUMBER THAT TRACES BACK TO AUTODESK'S OWN RESEARCH, NOT A GUESS. This isn't an early sketch of a building system, it's the final version: cooling towers, pumps, heat exchangers, pipe runs called out at exact sizes, 32mm and 100mm, ready to hand to a shop that's about to cut real metal to those numbers. That's the highest-stakes moment in the whole process. A mistake caught early just gets redrawn on screen. The same mistake, missed until the shop has already cut the pipe, means wasted material and a piece that has to be made again from scratch. Reading a model this dense for clashes, pipes crossing pipes, pipes crossing equipment, is exactly what Claude connected to Revit 2027 through MCP is built for. The official Revit MCP server can already read all of it. It still can't fix what it finds. The article below covers why.

A CLASH CAUGHT IN THE MODEL COSTS $500. THE SAME CLASH CAUGHT ON SITE COSTS $17,000. A NUMBER THAT TRACES BACK TO AUTODESK'S OWN RESEARCH, NOT A GUESS. This isn't an early sketch of a building system, it's the final version: cooling towers, pumps, heat exchangers, pipe runs called out at exact sizes, 32mm and 100mm, ready to hand to a shop that's about to cut real metal to those numbers. That's the highest-stakes moment in the whole process. A mistake caught early just gets redrawn on screen. The same mistake, missed until the shop has already cut the pipe, means wasted material and a piece that has to be made again from scratch. Reading a model this dense for clashes, pipes crossing pipes, pipes crossing equipment, is exactly what Claude connected to Revit 2027 through MCP is built for. The official Revit MCP server can already read all of it. It still can't fix what it finds. The article below covers why.

Solvaix

24,679 просмотров • 1 месяц назад

3 HOURS OF MANUAL SETUP GOT AN AI BUILDING INSIDE REVIT. AUTODESK'S OWN VERSION STILL CAN'T. Revit is the software behind most MEP work, the mechanical, electrical, and plumbing systems planned out digitally before a single pipe goes into a real building. Autodesk released Revit 2027 in April 2026, then followed it in June with an official MCP server, Model Context Protocol, letting outside AI tools like Claude plug directly into a live model instead of guessing from screenshots. Claude Fable 5 connected without issue. It could read walls, ducts, pump schedules, dozens of parameters per object. It couldn't create a single wall, duct, or schedule, Tech Preview status, write access still locked on purpose. A beginner MEP engineer wanted more: three pumps, a chiller connection, basic ductwork, built by description instead of menu clicks. The official server couldn't do it. The fix was a community-built Revit MCP project instead, unofficial, 61 separate functions in total, including the ability to actually create and edit elements, the access Autodesk hasn't opened up yet. No official installer, no drag-and-drop, real technical setup before anything worked, close to 3 hours in this case. Once it was live, a small MEP layout that would've taken most of a workday to build by hand was finished in 40 minutes. Over in 3D art and design software, that gap doesn't exist. Blender's official MCP has had full read and write access since April 2026, backed by Anthropic as a funding partner of the Blender Foundation. Get a 3D scene wrong and you hit render again. Get a real pipe run wrong and you're filing a change order. That's the caution Autodesk is building into Revit.

3 HOURS OF MANUAL SETUP GOT AN AI BUILDING INSIDE REVIT. AUTODESK'S OWN VERSION STILL CAN'T. Revit is the software behind most MEP work, the mechanical, electrical, and plumbing systems planned out digitally before a single pipe goes into a real building. Autodesk released Revit 2027 in April 2026, then followed it in June with an official MCP server, Model Context Protocol, letting outside AI tools like Claude plug directly into a live model instead of guessing from screenshots. Claude Fable 5 connected without issue. It could read walls, ducts, pump schedules, dozens of parameters per object. It couldn't create a single wall, duct, or schedule, Tech Preview status, write access still locked on purpose. A beginner MEP engineer wanted more: three pumps, a chiller connection, basic ductwork, built by description instead of menu clicks. The official server couldn't do it. The fix was a community-built Revit MCP project instead, unofficial, 61 separate functions in total, including the ability to actually create and edit elements, the access Autodesk hasn't opened up yet. No official installer, no drag-and-drop, real technical setup before anything worked, close to 3 hours in this case. Once it was live, a small MEP layout that would've taken most of a workday to build by hand was finished in 40 minutes. Over in 3D art and design software, that gap doesn't exist. Blender's official MCP has had full read and write access since April 2026, backed by Anthropic as a funding partner of the Blender Foundation. Get a 3D scene wrong and you hit render again. Get a real pipe run wrong and you're filing a change order. That's the caution Autodesk is building into Revit.

Solvaix

96,637 просмотров • 1 месяц назад

$65 MILLION RESIDENTIAL TOWER. 17 FLOORS OF WATER, DRAINAGE, AND MECHANICAL RUNS, PLACED AND CHECKED ONE LEVEL AGAINST THE NEXT, BEFORE ANY OF THE WALLS GO UP. Old process: 5 engineers, 3 months, around $240,000. New process: 1 engineer confirming the output, 3 weeks, roughly $25,000 combined, engineer's time plus AI compute. Autodesk added an official MCP server to Revit in April 2026, letting Claude read a live model directly instead of guessing from a screenshot. It can trace every riser, every parameter, every clash. It still can't build or edit anything, read-only on purpose. The workaround already exists, and it's what makes that new process number real. See the article below for how it works.

$65 MILLION RESIDENTIAL TOWER. 17 FLOORS OF WATER, DRAINAGE, AND MECHANICAL RUNS, PLACED AND CHECKED ONE LEVEL AGAINST THE NEXT, BEFORE ANY OF THE WALLS GO UP. Old process: 5 engineers, 3 months, around $240,000. New process: 1 engineer confirming the output, 3 weeks, roughly $25,000 combined, engineer's time plus AI compute. Autodesk added an official MCP server to Revit in April 2026, letting Claude read a live model directly instead of guessing from a screenshot. It can trace every riser, every parameter, every clash. It still can't build or edit anything, read-only on purpose. The workaround already exists, and it's what makes that new process number real. See the article below for how it works.

Solvaix

13,113 просмотров • 20 дней назад

A CUSTOM BOOTH AT THIS DETAIL LEVEL RUNS $58,000 TO $145,000 ON THE OPEN MARKET. THIS ONE CAME OUT OF A CHAT MESSAGE. The brief: a reference photo, a height cap of 4.5m, a footprint of 6 by 9 meters. Claude built the whole thing inside Blender through MCP, reception desk, demo counter, a lounge with sofas and hanging planters, LED edge lighting throughout. It hit a real snag partway through: Blender's latest version changed its compositor code, and the first render came out badly overexposed. Claude found the cause, two lights running too hot and glare set too aggressive, and fixed it. Final scene: 1,133 objects, rendered at 1500x1180. Blender's official MCP connection has had full read and write access since April 2026. Every tool it can use, and exactly where it still falls short, is in the article below.

A CUSTOM BOOTH AT THIS DETAIL LEVEL RUNS $58,000 TO $145,000 ON THE OPEN MARKET. THIS ONE CAME OUT OF A CHAT MESSAGE. The brief: a reference photo, a height cap of 4.5m, a footprint of 6 by 9 meters. Claude built the whole thing inside Blender through MCP, reception desk, demo counter, a lounge with sofas and hanging planters, LED edge lighting throughout. It hit a real snag partway through: Blender's latest version changed its compositor code, and the first render came out badly overexposed. Claude found the cause, two lights running too hot and glare set too aggressive, and fixed it. Final scene: 1,133 objects, rendered at 1500x1180. Blender's official MCP connection has had full read and write access since April 2026. Every tool it can use, and exactly where it still falls short, is in the article below.

Solvaix

15,916 просмотров • 1 месяц назад

FIX IT ON SCREEN: 1X COST. FIX IT DURING CONSTRUCTION: 10X. FIX IT AFTER HANDOVER: 100X. That's the industry's own math for coordination errors. Every pipe and duct on this ceiling carries its own millimeter callout, checked against the real unfinished site before drywall closes over it. One documented BIM coordination case spent $200,000 catching clashes like this before construction. Saved over $2.5 million once the project finished. A 10x return. Revit's new MCP integration puts Claude directly on a model like this, every dimension, every parameter, every clearance, without the manual scroll. It still can't move anything in the file, only point at what's about to go wrong. See the article below for exactly where that line is drawn, and why.

FIX IT ON SCREEN: 1X COST. FIX IT DURING CONSTRUCTION: 10X. FIX IT AFTER HANDOVER: 100X. That's the industry's own math for coordination errors. Every pipe and duct on this ceiling carries its own millimeter callout, checked against the real unfinished site before drywall closes over it. One documented BIM coordination case spent $200,000 catching clashes like this before construction. Saved over $2.5 million once the project finished. A 10x return. Revit's new MCP integration puts Claude directly on a model like this, every dimension, every parameter, every clearance, without the manual scroll. It still can't move anything in the file, only point at what's about to go wrong. See the article below for exactly where that line is drawn, and why.

Solvaix

18,909 просмотров • 22 дней назад

🚨 GOLD IS SETTING UP FOR A DROP BACK TO SUPPORT Here's exactly what I'm watching on gold right now. Price sold off hard, bounced, and has now climbed all the way back up to the ~$4,390 key level. That's not strength, that's price returning to the scene of the crime, tapping the exact resistance it broke down from. This is the zone where sellers step back in. The bounce filled the gap, ran into the key level, and now it's setting up to reject. My read from here: rejection at $4,390, then a slide back down toward the support cluster around $4,290. That's roughly a 100-point move, and it's the level that actually matters, the floor from the last flush. The trap is simple. This bounce looks like recovery, so late buyers pile in right at resistance, exactly where the smart money is fading it. Then the drop catches them offside. I'm not chasing this bounce into the key level. I want to see how it reacts there, and if it rejects, the support cluster is the target. Buy the support, NOT the resistance. Turn notifications on. I'll post the move the moment it confirms.

🚨 GOLD IS SETTING UP FOR A DROP BACK TO SUPPORT Here's exactly what I'm watching on gold right now. Price sold off hard, bounced, and has now climbed all the way back up to the ~$4,390 key level. That's not strength, that's price returning to the scene of the crime, tapping the exact resistance it broke down from. This is the zone where sellers step back in. The bounce filled the gap, ran into the key level, and now it's setting up to reject. My read from here: rejection at $4,390, then a slide back down toward the support cluster around $4,290. That's roughly a 100-point move, and it's the level that actually matters, the floor from the last flush. The trap is simple. This bounce looks like recovery, so late buyers pile in right at resistance, exactly where the smart money is fading it. Then the drop catches them offside. I'm not chasing this bounce into the key level. I want to see how it reacts there, and if it rejects, the support cluster is the target. Buy the support, NOT the resistance. Turn notifications on. I'll post the move the moment it confirms.

Qmo

62,928 просмотров • 7 дней назад

HE BUILT A BRAND SITE THAT LOOKS LIKE IT COST $10,000 - IN ONE EVENING WITH CLAUDE CODE What's on screen isn't a template with a color swap It's a full product brand site with effects most designers reach for Figma plugins to get What's actually on the page: > A headline that glows like it's lit from the inside > The product breaking out of the frame and sitting in front of the text > Typography that stops you mid-scroll > Depth that usually takes a motion designer to pull off > Details so considered it looks like someone art directed every pixel What it normally takes: > A brand designer who knows typography at this level > A frontend developer who knows when to reach for z-index and when not to > Back and forth between them until the details land right The price gap: > Brand site at this quality: $5,000 - $8,000+ > Your cost: a Claude subscription > Timeline: an evening Full walkthrough in the article below

monokern

525,247 просмотров • 2 месяцев назад

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

Madni Aghadi

397,324 просмотров • 2 месяцев назад

China built a spherical robot that hunts people down and can't be knocked over no matter what you do to it It rolls on land, swims through water, hits 35 km/h chasing a target, and shoots a net gun to physically pin someone down A guy hits it with a sledgehammer on camera It shrugs it off. The shell takes up to 4 tons of impact and just keeps moving Kick it. Drop it from height. Roll it down a hill. It rights itself instantly every single time, because the weight sits so low in the sphere it's basically impossible to flip No GPS. No maps. It uses cameras mounted around the entire shell, giving it a full panoramic view like an insect's compound eyes, and figures out the terrain completely on its own Multiple units can coordinate together to corner a target as a group This isn't a concept video This is a working robot from Zhejiang University, built for law enforcement and military use, and it's already doing all of this on camera right now

China built a spherical robot that hunts people down and can't be knocked over no matter what you do to it It rolls on land, swims through water, hits 35 km/h chasing a target, and shoots a net gun to physically pin someone down A guy hits it with a sledgehammer on camera It shrugs it off. The shell takes up to 4 tons of impact and just keeps moving Kick it. Drop it from height. Roll it down a hill. It rights itself instantly every single time, because the weight sits so low in the sphere it's basically impossible to flip No GPS. No maps. It uses cameras mounted around the entire shell, giving it a full panoramic view like an insect's compound eyes, and figures out the terrain completely on its own Multiple units can coordinate together to corner a target as a group This isn't a concept video This is a working robot from Zhejiang University, built for law enforcement and military use, and it's already doing all of this on camera right now

pulmencr

55,537 просмотров • 1 месяц назад

Color grading in Blender is how you build your visual style. Most artists skip it — and every render ends up looking like a render. Technically fine. Visually forgettable. Grading directly in Blender means no external tools, no roundtripping. Cinematic result straight out of the renderer. But more than that — this is where your signature look comes from. The contrast, the temperature, the way shadows feel. That's not the scene. That's you. Ignore it and you're always one step away from having a style of your own. Power Grade Color Grading in Blender add-on:

Color grading in Blender is how you build your visual style. Most artists skip it — and every render ends up looking like a render. Technically fine. Visually forgettable. Grading directly in Blender means no external tools, no roundtripping. Cinematic result straight out of the renderer. But more than that — this is where your signature look comes from. The contrast, the temperature, the way shadows feel. That's not the scene. That's you. Ignore it and you're always one step away from having a style of your own. Power Grade Color Grading in Blender add-on:

SLAVO | c g s l a v

28,626 просмотров • 5 месяцев назад

Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?

Axel Bitblaze 🪓

63,796 просмотров • 3 месяцев назад

Before an autonomous machine can act, it has to understand. A construction site is one of the most unpredictable environments imaginable. The terrain changes with every pass. Material piles shift. Other machines move nearby. No two digs are the same. For a human operator, reading that environment is second nature, built from years of experience and constant sensory feedback. Teaching a machine to do the same is one of the hardest problems in autonomy. Scene understanding is how we're working to solve it. Our system fuses LiDAR point clouds, camera feeds, and real-time terrain data into a continuous, three-dimensional picture of everything happening around the machine. It's a living model of the environment, updated moment to moment so the machine can make decisions grounded in what's actually in front of it.

Before an autonomous machine can act, it has to understand. A construction site is one of the most unpredictable environments imaginable. The terrain changes with every pass. Material piles shift. Other machines move nearby. No two digs are the same. For a human operator, reading that environment is second nature, built from years of experience and constant sensory feedback. Teaching a machine to do the same is one of the hardest problems in autonomy. Scene understanding is how we're working to solve it. Our system fuses LiDAR point clouds, camera feeds, and real-time terrain data into a continuous, three-dimensional picture of everything happening around the machine. It's a living model of the environment, updated moment to moment so the machine can make decisions grounded in what's actually in front of it.

Bedrock Robotics

33,148 просмотров • 4 месяцев назад

ANTHROPIC MAPPED OUT 8 LEVELS OF AI AGENTS - AND ANYONE CAN REACH LEVEL 8 WHERE THE SYSTEM EARNS $70K WITHOUT YOU anyone can reach level 8 - one solo developer with the right architecture gets there in a few weeks level 1 - the agent can do one action - and 80% of developers call this a product level 3 - 50 tools in context at once - the model gets confused - most teams get stuck here and lose $30K/month level 4 - Opus 5 grades its own output and rejects before you see it - the first level where quality stops depending on luck level 5 - Opus 5 plans, Fable 5 executes in parallel - one brain, many hands level 7 - while you slept the agent did $3,000 worth of work and sent the report before you woke up level 8 - the fleet finds its own mistakes, patches the graph and tomorrow it is smarter than today bookmark and read below - 8 steps from level 1 to $70K/month without you

ANTHROPIC MAPPED OUT 8 LEVELS OF AI AGENTS - AND ANYONE CAN REACH LEVEL 8 WHERE THE SYSTEM EARNS $70K WITHOUT YOU anyone can reach level 8 - one solo developer with the right architecture gets there in a few weeks level 1 - the agent can do one action - and 80% of developers call this a product level 3 - 50 tools in context at once - the model gets confused - most teams get stuck here and lose $30K/month level 4 - Opus 5 grades its own output and rejects before you see it - the first level where quality stops depending on luck level 5 - Opus 5 plans, Fable 5 executes in parallel - one brain, many hands level 7 - while you slept the agent did $3,000 worth of work and sent the report before you woke up level 8 - the fleet finds its own mistakes, patches the graph and tomorrow it is smarter than today bookmark and read below - 8 steps from level 1 to $70K/month without you

Noisy

12,083 просмотров • 1 месяц назад

been playing with whop's new blueprints feature and a part of it changes the whole math on starting a business.. a blueprint is a full business ready to run. not a template you fill in. the actual site, the checkout, tracking, the whop pixel, analytics, all of it live from the first second. you pick a bluepint, name it and deploy, that's it. you're on a .whop.app url taking real payments with nothing left to wire up. i deployed one in the time it takes to read this and these aren't thin little landing pages. multi-page sites, customer accounts, carts, booking, subscriptions, reviews, checkout. full commercial sites out of the box, hosted on Whop for free. the analytics sit in the same dashboard. traffic, conversions, revenue, MRR, churn, ad spend, all in one place,you deploy and you can already see everything. but here's the part that actually that got me invested into it. instead of just building and deploying blueprints, it has other features in-built which can make the whole process easier and every business that gets onboarded through a blueprint you built earns you 10% of whop's gross profit from that business. recurring, per business, for as long as they run. so building a blueprint is its own business. you build one for a niche, put it out there, and every business that runs on it keeps paying you while you do nothing. i spent years thinking distribution was the hard part. build a good blueprint and the distribution is the business.

been playing with whop's new blueprints feature and a part of it changes the whole math on starting a business.. a blueprint is a full business ready to run. not a template you fill in. the actual site, the checkout, tracking, the whop pixel, analytics, all of it live from the first second. you pick a bluepint, name it and deploy, that's it. you're on a .whop.app url taking real payments with nothing left to wire up. i deployed one in the time it takes to read this and these aren't thin little landing pages. multi-page sites, customer accounts, carts, booking, subscriptions, reviews, checkout. full commercial sites out of the box, hosted on Whop for free. the analytics sit in the same dashboard. traffic, conversions, revenue, MRR, churn, ad spend, all in one place,you deploy and you can already see everything. but here's the part that actually that got me invested into it. instead of just building and deploying blueprints, it has other features in-built which can make the whole process easier and every business that gets onboarded through a blueprint you built earns you 10% of whop's gross profit from that business. recurring, per business, for as long as they run. so building a blueprint is its own business. you build one for a niche, put it out there, and every business that runs on it keeps paying you while you do nothing. i spent years thinking distribution was the hard part. build a good blueprint and the distribution is the business.

Sulfur

42,114 просмотров • 14 дней назад

i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:

i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:

Machina

50,694 просмотров • 1 месяц назад

MEP refers to the mechanical, electrical, and plumbing systems that are essential for a house to operate. This model shows exactly those systems, including ductwork, water tanks, an exterior air conditioner unit, and wiring, all planned out before building begins. Typically, coordinating these systems for a house this size would cost between $2,500 and $5,000. However, the issues this coordination helps prevent are far more costly than the invoice itself. In the US, electrical issues are estimated to cause 51,000 home fires annually, leading to $1.3 billion in damages. Water damage from broken pipes or faulty plumbing connections averages $15,400 per insurance claim, and about 1 in 67 homeowners file such a claim each year. By modeling all systems before construction starts, potential problems like faulty wiring or incorrectly installed pipes can be identified on screen rather than after walls are finished, saving significant money when issues arise. 3D modeling is also starting to incorporate AI. Revit 2027 now includes an official MCP connector that allows major AI models to access project files like this one. Currently, the AI can only read the files, not modify them. The article below explains why this is the case for now.

MEP refers to the mechanical, electrical, and plumbing systems that are essential for a house to operate. This model shows exactly those systems, including ductwork, water tanks, an exterior air conditioner unit, and wiring, all planned out before building begins. Typically, coordinating these systems for a house this size would cost between $2,500 and $5,000. However, the issues this coordination helps prevent are far more costly than the invoice itself. In the US, electrical issues are estimated to cause 51,000 home fires annually, leading to $1.3 billion in damages. Water damage from broken pipes or faulty plumbing connections averages $15,400 per insurance claim, and about 1 in 67 homeowners file such a claim each year. By modeling all systems before construction starts, potential problems like faulty wiring or incorrectly installed pipes can be identified on screen rather than after walls are finished, saving significant money when issues arise. 3D modeling is also starting to incorporate AI. Revit 2027 now includes an official MCP connector that allows major AI models to access project files like this one. Currently, the AI can only read the files, not modify them. The article below explains why this is the case for now.

Solvaix

32,877 просмотров • 7 дней назад

I built a Claude Code skill that allows it to generate a deep research report over any collection of complex docs (PDFs, Word, Pptx)….and generate word-level citations and bounding boxes directly back to the source! 📝 Check out “/research-docs”. 1. It parses out text and bounding boxes from every doc with liteparse, in seconds. 2. It then generates a full HTML report of the outputs that let you see word-level citations in each page. Raw Claude obviously has deep research capabilities, but it lacks an audit trail back to the source. This skill gives you a researched report that can be audited by others. Check it out: LiteParse:

I built a Claude Code skill that allows it to generate a deep research report over any collection of complex docs (PDFs, Word, Pptx)….and generate word-level citations and bounding boxes directly back to the source! 📝 Check out “/research-docs”. 1. It parses out text and bounding boxes from every doc with liteparse, in seconds. 2. It then generates a full HTML report of the outputs that let you see word-level citations in each page. Raw Claude obviously has deep research capabilities, but it lacks an audit trail back to the source. This skill gives you a researched report that can be audited by others. Check it out: LiteParse:

Jerry Liu

77,259 просмотров • 5 месяцев назад

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.

The interesting part about GPT in CAD is not that it can make a shape. It is that through MCP, GPT can work directly inside Onshape and turn a plain-English description into actual CAD geometry you can keep editing. In this case, the model builds a radial mechanical part with a central hub, repeated ribs, an outer ring, and a full pattern of mounting holes, all inside the real Onshape document. There is no fake “3D-looking” render hiding the hard part. The geometry exists in the CAD workspace, can be rotated, inspected, modified, and used as the starting point for the next iteration. That changes the workflow from manually clicking through every feature to describing the structure, letting GPT build the first pass, then correcting what matters. Once MCP gets reliable enough, the boring part of CAD starts looking less like modeling and more like supervising.

Rina

16,772 просмотров • 24 дней назад