Current pricing dated to the day, head-to-head scorecards, every figure linked to its source, and a daily brief on what changed.
Free tools
The true monthly cost of 19 AI coding tools for your team. The sticker seat price is the floor, not the cap.
ComparatorRank 70+ model and provider rates by your token volume, including open models priced across every host.
FinderAnswer four questions, get a recommended AI stack with the reason behind every pick.
Fresh off the bench
Cursor expanded its Self-Hosted Machines feature on September 2, 2026, adding dynamic worker pools, autoscaling, and Cloudflare Sandbox support so agent tool execution stays on customer-controlled infrastructure while the agent loop remains in Cursor's cloud.
GitHub shipped HydraFusion on September 4, 2026, a Copilot CLI feature that dynamically constructs a multi-model execution plan per coding task and cut estimated costs up to 67% versus Claude Opus 5 in internal benchmarks.
GPT-6 Astra launched September 3, 2026 with the highest capability rating in OpenAI's Preparedness Framework. API access costs $10 per million input tokens with a pricing cliff above 272K tokens that doubles costs on the full request.
Meta released Muse Voice Transcribe on September 1, 2026, the first real-time audio perception model to handle streaming transcription, speaker identification for 20-plus voices, and sentence detection in a single end-to-end architecture at $3.00 per 1,000 audio minutes.
Nvidia announced a definitive agreement to buy Hugging Face for $12.93 billion on September 3, 2026, putting the chip maker in control of the platform that hosts 3 million models and serves 18 million AI developers.
Firecrawl's AnyDoc benchmarks 100x faster than Docling, but they solve different problems. Here is which document parser to pick for Office batch ingestion, scanned PDFs, and RAG chunking.
GitHub's Customize tab went GA on August 25, 2026, and it is the first browse-and-install marketplace for MCP servers inside Copilot. Here is the ranked list of which MCP servers to add, which to skip, and how to lock the whole thing down for a team.
Cloudflare Kitesurf, Browserbase, and Browser-Use solve three different problems for agent builders. Here is which one to pick based on your task type, budget, and infrastructure.
Six prompt-injection defenses tested against real 2026 attacks: what held, what failed, and the control your security team will demand before signing off on agentic deployments.
The annotated enterprise agent reference architecture: ingestion, orchestration, tool layer, eval harness, and governance plane - mapped to the decisions your platform team will actually face in production.
A scored RFP scorecard for evaluating AI agent platforms - covering harness architecture, eval maturity, governance controls, and vendor lock-in risk - so your security and finance teams can sign off.
Six patterns that show up in every named public enterprise agent deployment in 2026 - extracted from the case studies, earnings calls, and vendor disclosures that are actually on the record.
RAG, fine-tuning, and long-context windows each create a distinct data-access path, and with it a distinct exfiltration surface. This maps all three through a DLP lens so your security team knows which controls to place where.
GPAI enforcement went live August 2, 2026. Here is what the EU AI Act actually requires of enterprise teams deploying agents: which obligations land on you vs. your model provider, what auditors will ask for, and the three controls that close most gaps.
How to write an agent PRD so that every acceptance criterion has a direct eval counterpart - the document structure, the five fields each requirement needs, and what breaks first when the PRD and the eval suite drift.
What changed today
Cursor expanded its Self-Hosted Machines feature on September 2, 2026, adding dynamic worker pools, autoscaling, and Cloudflare Sandbox support so agent tool execution stays on customer-controlled infrastructure while the agent loop remains in Cursor's cloud.
Eleven stories today: OpenAI GPT-6 Astra rolls out to enterprise and API while becoming the first model to hit OpenAI's critical-cyber threshold; Nvidia agrees to buy Hugging Face for $12.93B; GitHub ships HydraFusion multi-model orchestration; Cursor adds self-hosted machine pools; Meta Muse Voice Transcribe; Google Gemini 3.8 Flash with a defenders-only cyber variant; plus Zhipu GLM-5.3-Flash, Google Lyria 3.5, Perplexity Hybrid Mac, Anthropic Fable 5.1, and an unresolved Anthropic-Pentagon standoff.
GitHub shipped HydraFusion on September 4, 2026, a Copilot CLI feature that dynamically constructs a multi-model execution plan per coding task and cut estimated costs up to 67% versus Claude Opus 5 in internal benchmarks.
GPT-6 Astra launched September 3, 2026 with the highest capability rating in OpenAI's Preparedness Framework. API access costs $10 per million input tokens with a pricing cliff above 272K tokens that doubles costs on the full request.
Meta released Muse Voice Transcribe on September 1, 2026, the first real-time audio perception model to handle streaming transcription, speaker identification for 20-plus voices, and sentence detection in a single end-to-end architecture at $3.00 per 1,000 audio minutes.
Built by Pondero
Home maintenance on autopilot. A local-first iOS app: seasonal tasks tuned to your climate, an item and document vault, local pros, and a built-in AI helper. Free.
An installable, annotated system for Claude Code: 7 model-routed subagents, working hooks, slash commands, and tiered CLAUDE.md templates. One-time, no subscription.
What we'd pay for
Open-source terminal AI pair programmer whose real differentiator is one commit per change. Why the git-native model is the tradeoff to evaluate, and who should skip it.
AI-first code editor built on VS Code with deep integration of Claude, GPT-4, and other LLMs for code generation, editing, and chat.
Open-source VS Code coding agent with a per-step human approval gate and bring-your-own-key billing. The Apache 2.0 license and direct provider billing are the whole reason to pick it over a closed IDE fork.
GitHub Copilot shipped GPT-6 Astra, Claude Fable 5.1, and Gemini 3.8 Flash in one week, is retiring four models on October 2, and code review can now approve PRs. Here is what changed, which model to default, and whether the 4.5 rating holds.
For a solo developer, Pro+ at $39 is still the working tier, and GPT-6 Astra plus Claude Fable 5.1 are the reason to be on it, but watch the credit meter because both bill usage-based and long agent runs draw it down fast; if your day is all-day whole-repo editing, Cursor's Composer still edits cleaner. For a small team on Business at $19/user, the pick holds with one caveat: budget GPT-6 Astra as paid usage on top of the pooled allowance instead of assuming the seat covers it, and run the October 2 model migration before it bites. For an enterprise on Enterprise at $39/user, the any-model default, content exclusions in the app and CLI, and the new PR-approval control make it the standardize-here buy, provided admins enable the Fable 5.1 retention policy deliberately and set the PR-approval scope by file path.
Firecrawl shipped a Developer Index for coding agents, a ChatGPT plugin, an open-source parsing stack, and a free 41M-paper life-sciences index in August 2026. The rating moves to 4.6, and the tier you buy still turns on credit burn, not features.
Firecrawl is still the default URL-to-Markdown API for AI agents, and August 2026 nudges it from 4.5 to 4.6. The Developer Index hands coding agents a retrieval layer over real GitHub artifacts at no price bump, the Research Index went fully free, and the parsing stack is now open-source. For a solo builder, start keyless or on Hobby and move to Standard once monthly burn clears roughly 6,000 credits. For a small AI team building a coding agent, Standard is the tier, and the Developer Index is the reason to be on Firecrawl over a raw scraper. For enterprise, self-host the core or talk to sales for zero-data-retention. Rated 4.6 of 5.
Lindy split into two products: the personal assistant at 49.99 USD a month and Lindy Teammate, a Slack-native team coworker from 29.99 USD per seat. Current pricing for both, the crossover math, candid cons, and the per-persona pick.
Lindy in September 2026 is two products with one shared engine, and the pick turns on who you are, not on a feature checklist. A solo operator who wants their own inbox, calendar, and follow-ups handled from a text thread should take the personal assistant on Plus at 49.99 USD a month and validate it on the free trial first. A team that lives in Slack and wants an AI coworker with shared company context should take Lindy Teammate, from 29.99 USD per user a month, where two seats already cost more than one personal Plus plan but the shared Slack context is the reason to pay it. Anyone who needs an agent to act inside a web app with no API moves up to computer use, gated to Pro at 99.99 USD a month on the personal side. Pass on Lindy if you need deep code-node workflow logic (n8n wins) or want per-run cost you can predict to the cent, since the pooled, no-rollover credit model is Lindy's real liability and the reason the rating slips to 4.2.
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