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
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.
A decision framework for platform teams choosing between managed agent orchestration (Bedrock, Vertex, Anthropic ODE) and self-hosted durable execution (Temporal, Inngest, Conductor). With the flip conditions, real cost math, and what breaks first.
A rollout framework for platform leads deploying AI coding assistants at 500 seats: which plan to pick, what to measure from day one, and how to own the renewal conversation with data.
The three org designs for an AI agent function, keyed to headcount and governance: embedded champions under 15 engineers, a platform team to 150, a CoE above it, and the transition that breaks first.
A tiered eval-gate design for agent pipelines: deterministic checks every commit, LLM-judge on merge, regression nightly. Worked GitHub Actions config, dated judge-cost math, and what breaks first.
The cost model to build before an AI-tool rollout, not after the bill lands: four cost variables, a worked 50-to-150-seat token budget priced from live Anthropic API rates, and the five questions your CFO will ask.
Firecrawl's July 22 /search upgrade posts a 94.7% SimpleQA score on its own harness, and at the Standard tier it also undercuts Tavily and Exa on cost per search. We pulled the current pricing, cited every benchmark, and picked a winner for each agent type.
What the OpenTelemetry GenAI semantic conventions cover, what they still leave to you, and a two-hour setup that gets a platform team from a single duration metric to span-level agent traces.
What changed today
Alibaba priced 710 million new HKEX shares at HK$112.70 each on August 23, raising HK$80 billion for its AI full-stack strategy, then launched Wan3.0 the following day: a video model that generates clips up to 30 seconds at 1080p from text, PDFs, and slide decks.
Four stories today: XPeng Robotics closes China's largest embodied AI round at $900 million, Hugging Face enters acquisition talks above $13 billion, Nvidia negotiates a stake in Perplexity at more than $30 billion, and Google Cloud's survey data shows 79% of enterprises cite governance as their top agent-scaling barrier.
A Google Cloud survey of 1,402 IT leaders published July 7, 2026 found that 79% of organizations cite security, governance, and MLOps as their primary obstacle to deploying agentic AI at scale. The data gains new weight in a month when Congressional inquiries into agent containment failures at OpenAI and Anthropic raised the same questions nationally.
Business Insider reported August 24, 2026 that Hugging Face hired a bank to field buyer interest at more than $13 billion, nearly three times its 2023 Series D valuation of $4.5 billion and well above any prior open-source platform acquisition.
The Information reported Nvidia is negotiating an equity stake in Perplexity at a valuation exceeding $30 billion, more than 50 percent above the company's last round, as Bloomberg puts Perplexity's annualized revenue at over $750 million.
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 Agent Plugins 1.0, Grok 4.6, Kimi K3, MAI-Code image understanding, and Slack plus Teams agents in August 2026. Here is what changed, which model to default for your team, and whether the 4.4 rating moves.
For a solo developer, Pro+ at $39 is the working tier and the August model breadth (Grok 4.6 for long agent runs, Kimi K3 for cheap routine work, MAI-Code for screenshots) buys more at the same price, but if your day is all-day multi-file agent editing, Cursor's Composer still edits cleaner. For a small team on Business at $19/user, the Slack and Teams agents are the reason to standardize here: triage-to-PR now happens in the channel, gated to Business and above. For an enterprise on Enterprise at $39/user, Agent Plugins 1.0 going GA removes the ecosystem-lock-in objection, since one plugin.json now runs in Cursor's client and Copilot's alike under your existing governance.
Make added Maia, a natural-language co-worker that builds scenarios in the Scenario Builder, and Gemini 3.7 Flash just landed in its AI modules. Updated rating, current pricing, the cycles-per-run change coming October 1, and the per-persona pick vs n8n.
Make holds at 4.5 in August 2026. Maia is a genuine building and iteration aid on every paid plan, and Gemini 3.7 Flash adds a cheaper, faster model to the AI modules, but Maia's inability to read past execution logs caps its value for the exact production-debugging work an ops lead needs most, and the two structural cons (no self-hosting, credit fan-out at volume) are unchanged. For a solo non-developer operator, Make is still the pick, and Maia makes the first build faster. For a mixed-technical ops team that needs managed spend caps and custom access roles without running a server, Make edges n8n. For a fully technical team that can run Docker at volume, n8n still wins on cost, because self-hosting deletes the per-credit meter and nothing in August changes that.
n8n shipped nine minor versions since July and the agent side got real: test runs, per-tool human review, token counting. Here is whether that shifts the verdict, per persona, at stable 2.35.5.
At stable 2.35.5, n8n is still the pick for any team that can run a container, and the August agent tooling makes the case stronger without moving the 4.5. For a solo dev with Docker, run the free Community Edition on an 11 EUR/mo Cloudways box. For an ops team past 2,500 executions a month with nobody to own uptime, the 50 EUR Pro plan. For a non-technical operator who will not touch a container, Make still wins, though the test-run plus per-tool review toggle is the first version where that call is close. For an enterprise with multi-tenant agents, Business or Enterprise is now viable on credential isolation, but that specific fix is a 2.36 pre-release item, so wait for it to land. For an agent-first team that wants MCP-native workflows, n8n is the clearest choice in the category.
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