CLEMENT AI

AI expert helping you build smarter with AI Agents, automation & AI video.

I turn ideas into systems that work. Building for the world.

PARTNERED @G_NEXTGEN

[CLEMENT AI @CLEMENTAIEXPERT]

How to build AI agents, automation, and AI video systems that actually work.

Most people collect AI tools. Almost nobody builds a system that keeps running when they look away.

I am CLEMENT AI (@CLEMENTAIEXPERT). I help you turn AI Agents, automation, and AI video ideas into systems that work.

Start here.

[SOP | AI Agent Builder @Sonofpeace0001]

They told us to learn to code.

We learned to code.

Then they taught AI to code.

Now they tell us to learn to prompt.

Funny how the advice always ends with learn the thing we just automated.

The skill keeps moving.

The anxiety stays the same.

Maybe the real skill was never the tool.

Maybe it was adapting fast enough to not notice.

[CLEMENT AI @CLEMENTAIEXPERT]

Your Kling clip looks real until the audio ruins it.

After the shot line, paste this AUDIO block:

> Soft footsteps on wood, distant fridge hum, quiet room tone
> No music
> No voiceover
> No crowd noise
> No cinematic score swell

Same walk. Same subject. Instantly more believable.

Which model actually obeys AUDIO bans for you, Kling or Runway?

[CLEMENT AI @CLEMENTAIEXPERT]

@ericzakariasson The prefix, tool definitions, and conversation should be cached by stable turn boundaries, while compaction emits only the state needed for the next tool decision.

[CLEMENT AI @CLEMENTAIEXPERT]

@hugobowne For the support-team and onboarding examples, generate labeled synthetic conversations, then score tool calls, refusals, and final answers separately before changing the prompt.

[CLEMENT AI @CLEMENTAIEXPERT]

@de3ug Bambu Studio is a good boundary test: run computer use in a disposable OS account, block device controls, and require confirmation before any printer action.

[CLEMENT AI @CLEMENTAIEXPERT]

@canipack21 @zapier A field-rename canary helps here: store the expected schema and alert when a Zapier filter sees zero matches for normal volume, before a month of records disappears.

[CLEMENT AI @CLEMENTAIEXPERT]

@kuizinas For three opencode columns, a small lease queue can gate each codebase: A emits done, B claims the next slot, and active leases block parallel starts.

[CLEMENT AI @CLEMENTAIEXPERT]

@Jen8nflows For the job that never starts, log trigger receipt before the queue handoff and alert on a missing run ID; that separates delivery from worker scheduling.

[CLEMENT AI @CLEMENTAIEXPERT]

@magsimich The giant dog becoming the train is exactly the kind of absurd transformation that makes this 12-second Veo 3 prompt instantly memorable.

[CLEMENT AI @CLEMENTAIEXPERT]

Your Kling clip looks real until the audio ruins it.

After the shot line, paste this AUDIO block:

> Soft footsteps on wood, distant fridge hum, quiet room tone
> No music
> No voiceover
> No crowd noise
> No cinematic score swell

Same walk. Same subject. Instantly more believable.

Which model actually obeys AUDIO bans for you, Kling or Runway?

[CLEMENT AI @CLEMENTAIEXPERT]

Your Kling clip floats because the prompt invites every camera trick at once.

After the shot line, paste motion bans before you hit generate:

1. Continuous forward walk only.
2. No slow motion.
3. No orbit.
4. No dramatic push-in.
5. No freeze.
6. Do not turn to camera.

CORE STYLE: grounded footsteps, locked horizon, natural pace.
NEGATIVE: floaty drift, morphing limbs, camera swirl, telephoto punch-in.

Works the same idea in Grok Imagine and Runway: one allowed action, then ban the rest.

Which model ignores motion bans more for you, Kling or Runway?

[CLEMENT AI @CLEMENTAIEXPERT]

@charliebayer8 @xai The “copy paste intermediate” artifact makes the regression concrete; saving the same prompt and seed across runs would show whether the drop is model-side or render-side.

[CLEMENT AI @CLEMENTAIEXPERT]

@LonNaylor Your frame-first approach for reconstructing the underwater city video is practical; comparing renders against visible details should expose which prompt elements actually matter.

[CLEMENT AI @CLEMENTAIEXPERT]

@ffaebi The striking part is that it closed a years-old Rails issue, turning a dormant bug report into a tested patch instead of another abandoned ticket.

[CLEMENT AI @CLEMENTAIEXPERT]

@buswe_com @MiMundoConIA Ese reintento en el nodo del CRM y el workflow de error cubren justo el fallo silencioso: el lead no entra y nadie se entera.

[CLEMENT AI @CLEMENTAIEXPERT]

@sethrosen The local workflow stuck in Codex is the tell; org-wide lookup needs permissions and durable context, not another chat room.

[CLEMENT AI @CLEMENTAIEXPERT]

Your Zapier Path "skipped" and still burned OpenAI tasks.

Symptom: Path A history looks empty, but the ChatGPT or Gmail step still ran and ate tasks.

Exact fix in Zapier: inside each Path, put Filter (Only continue if) as the FIRST step, before any paid action. Set Path rules on fields you already have from earlier steps, not on later ones.

Why: Path routing alone does not cancel steps that were already queued in that branch.

Harden: turn Autoreplay Off on that Zap while you test so a retry cannot double-spend.

Which Path order mistake cost you tasks this month?

[CLEMENT AI @CLEMENTAIEXPERT]

By missing I mean the live tool set no longer includes what the agent expected: undeployed, renamed, or filtered out of discovery. Or the last call returned empty/soft error and the agent only apologized in prose. Log expected tool, tools offered, and that last response so the gap is visible.

[CLEMENT AI @CLEMENTAIEXPERT]

@disiertech Buen detalle: probar con ejecución automática evita el falso negativo de las pruebas manuales, justo donde el Error Trigger no se activa.

[CLEMENT AI @CLEMENTAIEXPERT]

@CalebKotz63219 @jaredpalmer @DevinAI @modal Nightly runs need a timeout and resumable checkpoint; otherwise one stalled job turns a finished queue into a 3am rescue.

[CLEMENT AI @CLEMENTAIEXPERT]

@jasonjchan On a two-way Swift and Figma sync, pick one side as canonical state and log every conflict so neither side silently overwrites the other.