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Practice
62 explainers · newest first
62 explainers · newest first
From inspecting changes and starting the app to clicking, saving, reloading, fixing regressions, and handing off evidence—delegate an end-to-end browser review to your coding agent, then make it reusable with project rules, skills, and dedicated tooling.
Why does a default 0.5 threshold cause missed detections? Real apartment-leasing agent traces explain alarm thresholds, model selection, and probability calibration.
Follow Sac's workflow from tool setup and reference images to scenes, characters, and animation, with files, prompts, and checks for each step.
Understand asset allocation, video editing, and keyframes using official videos and reference images, complete with 21 full case prompts, raw asset downloads, quota calculations, and a hands-on exercise.
Explain mechanical principles and algorithmic rules using interactive structures, then complete installation, generation, preview, and iteration in five steps.
Explore all 43 general styles and 98 cinematic visual aesthetics, and play 9 full demo shorts selected for this guide. Follow the author's Claude Opus 5.5 workflow step by step, from setup to first frame, storyboard, and final film.
Eric Zakariasson's experimental organizational model: reusing roles, tracking task states, and handing control back to humans when blocked.
A five-step outbound prospecting workflow, five specialized roles, and how CLEAR/FLAG separates mechanical execution from sales judgment.
How Preppy, Pulse, Scout, and eVal pass candidate context along the pipeline, giving recruiters their time back for interviews and communication.
From managing twenty agents to interfacing with a single Chief of Staff, eight routines keep post-sales operations moving forward.
Kevin Niparko explains the practical usage of dynamic focus areas, customer research, engineering delegation, and data analysis.
Miguel Cruz shares how four resident bots support ad campaign setup, data retrieval, lead tracking, and creative execution.
From acquisition data to ad creatives, game mechanics, deployments, and bug triage—understanding long-running team handoffs.
Six marketing Bots complete deliverables across Docs, Google Ads, and code repositories, with a Project Manager reducing manual handoffs while marketers retain positioning and spend decisions.
Consolidating context from Slack, Salesforce, Notion, and contract systems into one place, while separating queries, drafting, and confirmed writes.
Enabling meeting prep, prospecting, technical Q&A, forecasting, and slides to collaborate across a unified bot team.
One chief of staff and eight specialist bots cover customer profiling, outreach, meetings, feedback synthesis, and product iteration.
John Bai's four design agents: exploring desktop prototypes, tuning animation feel, and batch-populating production components.
Dedicated bots handle your inbox, schedule, and intel, while a Bot Boss merges them into a single front door—cutting down context switching and duplicate alerts.
Starting from existing templates and workflows, connect audience, promise, curriculum, case studies, sales pages, and customer acquisition while understanding the role of AI tutoring and per-order delivery costs.
Higgsfield uses a fictional lemon soda to demonstrate AI presenters, moving product shots, and matching ad images. Understand how the tools work and what still needs doing after generation.
Upgrading from Haiku 4.5 or earlier: request rewriting, thinking block parsing, computer use toolsets, and session replay rules, complete with an upgrade checklist.
Place context readings above the prompt, inspect the blast radius before dangerous commands run, and review a round of edits step by step: three official examples explaining what Mods do and how to write them.
A team from traditional animation used Blender previs, Claude-written prompts, and AI video generation to make a car chase sequence. They laid it all out: routing shots at the storyboard, the asset-first approach, a five-block video prompt, and three failures.
Evaluations form the foundation: fix retrieval and context first, tune system architecture next, and only then consider training models. Spanning error analysis, model cascades, multi-vector retrieval, OCR selection, inference latency, Agent sandboxes, and post-training, these 13 talks deliver actionable methodologies backed by empirical measurements.
OpenAI breaks down usage, task, and Codex contribution analytics in the ChatGPT Admin Console, and how to partner with business leads to set baselines, track outcomes, and estimate ROI. Includes a sales research example you can recalculate using your team's own assumptions.
Using Void Explorer as the main case study, this guide breaks down how to define gameplay and visual direction first, then build observable testing, multi-scale coordinates, streamed terrain, performance benchmarks, and a Blender asset pipeline.
OpenAI's Astra case study demonstrates an inspectable 3D creation path: first turning textual intent into a Blender scene, then using floor plans, preview renders, and real-time walkthroughs to drive subsequent decisions.
Break vague image requirements into auditable subjects, composition, style, and constraints, then use single-variable iteration and step-by-step acceptance to minimize drift.
From shared common knowledge and personal experience to original thinking: understanding Nicolas Cole's division of labor between human and machine, plus three ready-to-use templates.
Eight everyday assistants show how skills, memory, and tool connections combine into repeatable workflows—and what recipients still need to configure.
From LEGO bridges and image editors to a 3D bar, Dominik Kundel's five lessons show how letting GPT 6 Astra fill in the details works best when you set the direction, hand over the tools, and define what "done" looks like.
Amir Mušić's Juicee case study demonstrates a more reliable method for AI-assisted branding: extract the rules from the reference image, lock down a brand anchor, and assign control over each piece of source material.
From launch context to all 16 official recommendations, this explains effort, tool loops, message history, long-task delivery, and vision handling, with ready-to-adapt bilingual prompt templates.
A visual layout dictionary: find a composition by task, break it down into subject, hierarchy, alignment, and whitespace, then apply your own text, images, and brand rules.
Following the original Agent Native article's 11 tips in order, this guide breaks down status monitoring, dev delegation, a general entry point, agent collaboration, project bots, X, Slack, plugins, multiple inboxes, Notion, and a follow-up journal.
Across project collaboration, mobile development, design, GTM, and product management, five internal playbooks converge on the same structure: define Agents as roles, connect them to real work environments, build loops through routines and handoffs, and reserve consequential decisions for people.
Weaviate maps the field with six core capabilities. The real thread running through all of them is deciding, at each step, what information gets into the model, what state stays outside, and who executes next.
Start with a wrong answer marked correct, a dangerous reply that slips through, and a fake API success. Then follow a single account recovery case study to walk through eight steps covering behavior contracts, state, evidence, recovery, regression, and release gates.
A practical walkthrough of the real workflow: entry points, single-shot settings, the Agent, Video Brief, Storyboard, and six canvas card types—then fixing bad takes, fine-cutting in Edit More, and exporting.
Eric Provencher from the OpenAI Codex DX team shares a multi-agent orchestration approach: first decide whether a task can be split cleanly, then configure models, reasoning effort, communication, and context, and finally track both time and token budgets.
Why can a small fix turn into a long session? This guide shows where your usage goes and when to choose clear, compact, rewind, or a Subagent.
Higgsfield Studio lays out every asset, prompt, performance, and lip-sync technique behind The Cully Hill Boys — and even offers its three in-house Claude skills for download.
Prompt regressions fail silently—no errors, no alerts, just slowly worsening results—so here's a git-based guardrail system that catches them early.
How to find users for your product. Don't rush to tweak your landing page—when bounce rates spike, the real problem is usually your traffic source.
For camera movements, the official spec says write 'truck left + pan right,' not 'orbit'; and to exclude background music, append 'non-diegetic music: N/A' — these are the rules the vendor itself has settled on through trial and error.
A six-and-a-half-minute official demo lays out the mechanism, a haiku tournament, and real-world data on when it's actually worth using.
A deep dive into the official docs reveals two delivery tools, three possible message outcomes, and a hard design line that keeps message-passing separate from permission escalation.
Each workflow is backed by real screenshots, revealing the practical details that text alone never captures.
Google has integrated Agent Skills, an open standard originally proposed by Anthropic, across all four language versions of its Genkit framework, with two working Go examples and a one-line parameter setup.
The official manual spells out every step from first use to final render, covering parameter ranges, four new entry points, and prompt formulas for seven scenario types.
ByteDance’s templates show how to assign roles across 50 reference assets, structure a 30-second video, and revise a single element without changing the rest.
Copy-ready prompts, banned-word lists, and camera rules are all there—but the model rankings come from Magnific's own team, with no disclosed test method.
The author embeds two key tricks in this piece, and the weight of the phrase "most of the time" at the end of the original headline carries real meaning.
Real GEO success is measured in signups and revenue rather than mention screenshots, and it starts by ditching 'what is X' articles to capture high-intent 'best X' queries.
Four internal skills work in sequence: catch bugs, clean up diffs, run the app, and double-check design specs when changes touch the UI.
The models use a brute-force approach to find code: scanning the entire repo for text matches. Generic names force them to read hundreds of extra files.
Rules gave way to judgment calls and examples gave way to interfaces — one tool description shrank from roughly 9,100 characters to a single sentence and an enum.
Anthropic open-sourced the templates and prompts behind the playbook, after a migration that burned through 5.9 billion uncached input tokens — about $165,000 at API prices.
This open-source training playbook locks down all three fine-tuning paths — supervised fine-tuning, preference alignment, and reward scoring — plus the LoRA parameters, pairs with Unsloth, and runs on a consumer GPU with just 8GB of VRAM.
pols.dev publishes a roughly 87,000-character Markdown document that calls out common generator-webpage patterns one by one and offers positive recipes—a universal style guide, not a site builder.
One core skill, 23 design commands, and a list of anti-patterns, plus a slop detector that can run in CI. The main site shows how; the /slop page lays out the UI tells that make AI-generated interfaces look fake.