Keyword LOOP
Five rules for building an AI agent that works
Five principles from Anthropic's agent guide: start simple, route, check ground truth, design tools, set limits.
Agents that run on their own: frameworks, schedules, chat integrations and the settings that keep them cheap and safe.
Keyword LOOP
Five principles from Anthropic's agent guide: start simple, route, check ground truth, design tools, set limits.
Keyword STARTER
Give your skill a specific name and trigger description, then move detail into linked files.
Keyword SIMPLEFIRST
Match a task to a fixed workflow first, then add an agent loop only when the work needs one.
Keyword SELFFLOW
Compare hosting and licence terms before choosing where your automation credentials and workflows will live.
Keyword HERMESPRO
Separate project rules from reusable procedures and check usage before compressing a long session.
Keyword HERMESMOVE
Preview imported instructions and tools, then review permission rules and credentials that do not transfer.
Use EGM to draft a specification and have fresh reviewers question its assumptions.
Review embedded-browser risks from the EMBRACE report without treating its publication-day patch status as current.
Keyword BOTHSIDES
Write your choice before asking an agent for both arguments; the study does not prove this prevents bias.
Keyword TIDY
Save a Copilot preference and review it; optional Dreaming uses AI credits even when a run changes nothing.
Extract a web page, review its Markdown, and add Obsidian skills before trying a larger knowledge-base workflow.
Keyword CRONGATE
Let a script skip unchanged polls before Hermes starts an agent, with a check you supply.
Keyword LOCALCALL
Run ai-phone on an Apple Silicon Mac and try a local SIP call before adding a paid carrier.
Keyword CODEXMEM
Turn on local memory, control its use per chat, and check which memory store your client uses.
Keyword WABOT
Choose the official integration or configure the unofficial bridge with explicit access controls.
Keyword FOLDER
Review downloaded instructions and agent endpoints before they can steer a coding session.
Keyword MODELS
Match the model to your task, then check whether its API or subscription works in your chosen client.
Keyword ELIZA
Explore the recovered ELIZA code and separate its interpreter from the DOCTOR conversation script.
Keyword MCP
Trace MCP from its launch to its host, client and server model before connecting another tool.
Use Air with an existing coding agent and review a small task before expanding access.
Define the components an agent may render and review its actions before connecting real data.
Install Pi, connect a provider and understand the process permissions before opening a repository.
Open a small project in T3 Code and review the provider, permissions and diff before publishing changes.
Separate an agent project's governance change from a reasoning model release.
Distinguish assisted code contributions from claims that engineers no longer write software.
The Forbes interview includes both the claim and a later qualification.
Review geometry and dimensions after an AI tool turns a drawing into a printable file.
Anthropic's February announcement describes how advertising relates to Claude conversations.
A robot demonstration does not establish reliable autonomous childcare or routine home assistance.
Enable a provider, review project access and check the first change with Xcode's build tools.
Keep project instructions local unless you deliberately want them in every repository.
Compare the February release against your own tasks instead of treating a leaderboard as a guarantee.
Separate tasks, inspect their changes and combine them only after checking the result.
Use account permissions and explicit approvals for actions that can spend money.
An exposed database and weak identity checks limit what viral agent posts can prove.
Start with a copied folder and a result you can inspect before allowing broader changes.
Code volume demonstrates scale, but correctness still needs separate evidence.
A controlled plant experiment shows a feedback loop, not proof that autonomous farming is solved.
The original interview separates a forecast about tasks from a prediction about model capabilities.
Matt Garman's interview raises a practical question: how will a team develop experienced engineers if hiring stops?
His December 2025 reflection described a changing workflow and fallible tools, not measured tenfold productivity.
Read the research on residual connections and why unrestricted mixing can make model training unstable.
Karpathy's 2025 review explains training against checkable results and the limits of uneven model abilities.
The December 2025 announcement describes licensed inference technology, leadership moves and GroqCloud continuity.
Google's December 2025 release paired faster responses with reasoning capabilities across its app and developer tools.
Google's Co-Scientist research gives a concrete example of AI proposing ideas that scientists then test.
Eve is a named Grok voice; its delivery style should be assessed separately from the accuracy of its answers.
The July 2025 launch reported strong benchmark results; a model choice still needs checks against your own tasks.
The Baron conference discussion described an ambition for robots, not clinical evidence of surgical performance.
The August 2025 release combined fast and reasoning responses with options for changing ChatGPT's tone.
Nvidia published a short statement arguing that the United States should advance and attract developers worldwide.
The November 2023 statements establish the leadership changes without proving later claims about rival labs.
The podcast described a possible AI interface and an uncertain timeline, not a released replacement phone.
Attention Is All You Need introduced the Transformer in 2017 through machine-translation experiments.
A November 2025 study compared Grokipedia with Wikipedia and found differences in citation quality.
Edi Rama used a pregnancy metaphor for proposed parliamentary assistants, not a biological claim.
The partnership combines data processing, models and optimization tools with Palantir's enterprise data model.
The agreement changed ownership and compute terms; its announcement describes a historical contract.
The organizer describes a limited live experiment with prompt sensitivity, rather than a permanent model ranking.
The October 2025 post gave a personal probability estimate without a published evaluation method.
The Dev Day interview discussed a possible future business model, not an existing billion-dollar autonomous company.
An October 2025 report described hiring and research plans; it did not demonstrate machines with feelings.
The preview used existing context to research updates, so useful results depended on the information shared.
Researchers evaluated models on exam-style questions; those scores did not award a professional qualification.
OpenAI described a partnership exceeding $300 billion over five years, alongside planned data center capacity.
Cognition linked its funding announcement to Devin revenue growth and its acquisition of Windsurf.
Agent 3 added browser testing and longer autonomous runs, with progress available for human review.
Cognition raised over $400 million at a $10.2 billion valuation, with plans for Devin and Windsurf.
Use examples and feedback with OpenAI's prompt optimizer, then check whether the revision improves real outputs.
The August 2025 release introduced a coding model and a limited-time promotion through partner clients.
A memo reviewed by The Verge described a temporary pause with exceptions for business-critical roles.
A firsthand August 2025 interview separated enthusiasm for AI technology from enthusiasm about investment.
The August 2025 release combined thinking and non-thinking modes, with API names that later releases reused.
Autopoiesis reported GPQA Diamond and SimpleQA results; those figures do not prove superiority on every task.
Meta's August 2025 release translated English and Spanish reels, with optional lip sync and visible AI labels.
Use a repeatable evaluation and review process as the model, data and users change.
The preliminary report studied enterprise adoption and measurable returns within a limited research sample.
The August 2025 API beta increased capacity, with separate pricing and availability conditions.
The August 2025 plan launched at 399 rupees per month with higher limits than the free tier.
The archive’s collapse narrative is unverified; Cursor’s pricing apology provides a narrower documented event.
The August 2025 GSA partnership was a time-limited offer for participating federal agencies.
The company’s September announcement distinguishes annualized revenue from funding and valuation.
Keyword BACKUP
A database deletion at Replit shows why recovery and production access need separate checks.
Researchers combined AI agents, specialist software and experimental validation to design 92 candidates.
Google DeepMind showed interactive generated worlds with explicit limits on consistency and control.
The August 2025 open-weight models can run outside ChatGPT, with hardware and license requirements.
Meta’s own earnings remarks identify the research leadership behind its new effort.
The experimental model's published proofs provide evidence beyond a gold-level headline.
One timed optimization contest is useful evidence, but it does not rank every kind of programming.
The 2025 release combined research, browser actions and a terminal, with user control over consequential steps.
The July 2025 announcement introduced a character-based feature; treat the launch details as historical.
The July 2025 release described tool use and benchmark results; a real engineering answer still needs checking.
The 2025 result compared an AI system and physicians on a specific set of difficult case records.
A former employee’s account describes both AI systems and human developers, so the viral shorthand needs care.
The June 2025 preview preceded the stable model, so the version name matters when comparing behavior.
The announcement concerned Windsurf’s model capacity, not a shutdown of Claude everywhere.
The partnership described national access and sector adoption, without promising free premium subscriptions.
Google announced AI features across products, with separate rollout conditions for each surface.
Correcting the attribution in our original caption and separating experiments from production review.
OpenAI o3 was a reasoning model with visual and tool capabilities, not another name for GPT-3.5 Turbo.
A convincing voice is only one part of a call that handles the caller’s request correctly.
Google launched Gemini 2.5 Pro Experimental as the first model in its thinking-model family.
Define the output, source material and completion checks before handing work to an agent.
The February 2025 release emphasized conversational quality and broader knowledge, with limits still to study.