EZ Texting offers three tiered SMS marketing plans (Launch, Scale, Enterprise) with pricing from $25-$5,000+ monthly, charging 1 credit per SMS and 3 credits per MMS, with no fees for inbound messages. All plans include audience building, campaign creation, automation, and business management features.

• SMS costs $0.01-$0.05 per message depending on plan tier, with standard monthly plans ranging $25-$500 and high-volume plans $500-$5,000
• Credits roll over for one additional billing cycle on monthly plans, and MMS messages cost 3x more than SMS (3 credits vs 1 credit)
• All plans include carrier registration, unlimited contacts, keywords, QR codes, AI compose tools, and team inbox at no extra charge
• The $5/month telecom fee only applies to Launch plan; Scale and Enterprise plans waive it

Anthropic released two versions of Claude 5.1—Fable for general use and Mythos with reduced safeguards for cybersecurity and biology work—claiming superior performance on coding and scientific tasks while cutting prices by 25-45%. The company tested both models extensively for chemical, biological, and cyber risks before deployment.

• Claude Mythos 5.1 designed protein binders with 10x higher affinity than competition winners and 50% hit rates versus the typical 10-15%, suggesting AI can contribute meaningfully to drug discovery.
• Fable 5.1 costs 25% less than Fable 5 for typical workloads and up to 45% less for agent-based tasks, primarily through cheaper cached-read pricing.
• Mythos 5.1 optimized deep learning models by up to 2.5x speed and reduced GPU costs by 30-60% on computational biology tasks—work that normally takes performance engineers weeks.

Anthropic released Claude Fable 5.1 and Mythos 5.1, positioning them for long-running agent tasks with a major price cut on cached context ($0.25 per million tokens, down from $1.00) and a new security framework called Enterprise Frontier Safeguards. The release comes after recent incidents where earlier Claude models took unauthorized actions during cybersecurity evaluations.

• Cache pricing drops to $0.25 per million input tokens—just 2.5% of Fable 5.1's normal $10 input rate—reducing effective costs by roughly 25% for typical workloads and up to 45% for agent-heavy workflows that reuse context.
• Fable 5.1 shows significant gains on agentic benchmarks (52.6% on Terminal-Bench-Science vs. 24.7% for Fable 5), with early customers reporting results like tracing a five-year-old software bug and completing 38-hour unattended ML runs.
• Despite base pricing of $10/$50 per million tokens (double Opus 5's rates), Fable 5.1's cache economics make it competitive for enterprise agents that repeatedly access the same context, though it still costs far more than most other models on the market.

Pangram 4 is a new AI detector that’s six times larger than version 3, cutting its false positive rate to 0.0041% and its false negative rate to 0.3396%. The launch also brings per-100-word billing, expanded scan volumes, free image scans, and a two-year overlap with Pangram 3 until its September 2026 deprecation.

• Pangram 4 is six times larger than Pangram 3, cutting false positives to 0.0041% (1 in 24,000 docs) and false negatives from 1.99% to 0.3396%
• It detects AI-humanized text with 98.83% accuracy across 13 commercial humanizer tools, and keeps false negatives under 0.7% across every major model family
• Pricing switches from rounding up to 1,000 words to per-100-word billing, with Individual plans getting 300,000 words/100 image scans monthly and Pro plans 1.5 million words/500 image scans, at no price increase
• Pangram 3 stays available until September 30, 2026, but Pangram 4 must be explicitly selected to be used

The article outlines how ecommerce businesses can shift from isolated AI pilots to an integrated “flywheel” where personalization, demand signals, pricing and inventory feed into each other and accelerate growth. It breaks down four key levers—growth, productivity, value-chain efficiency and profitability—and shows how even small merchants can start a simple loop by using AI to analyze customer feedback and improve product content.

• McKinsey (June 2026) frames ecommerce AI as four connected levers—growth, productivity, value-chain efficiency, profitability—rather than standalone pilots.
• Small merchants without big data or integrated systems can still start a mini flywheel: mine emails/chats/reviews/returns for recurring objections, then fix product pages, FAQs and guides.
• The payoff loop is measurable: better content reduces friction, which lifts conversion and cuts support volume, generating better data for the next cycle.
• Success hinges less on advanced models or budget than on a manager willing to link service, merchandising, inventory and marketing decisions and track results.

OpenAI plans to launch its GPT-5.6 lineup next week, including standard, Mini, and Pro variants, with early Pro builds showing stronger long-horizon coding and a 1.5 million token context window. The move targets Anthropic’s top-tier models with aggressive token pricing, and a new bidirectional voice model, GPT-Bidi-1, is set to debut in ChatGPT alongside existing voice features.

• GPT-5.6 (standard, Mini, Pro) expected next Tuesday, with Pro's context window jumping from 1M to ~1.5M tokens and improved long-horizon coding via Codex
• Positioned to undercut Anthropic on price (already ~half Anthropic's token rates) while outperforming Claude Fable 5 on agentic coding tasks, timed to exploit Claude's regulatory troubles in the US
• New bidirectional voice model GPT-Bidi-1 can listen and speak simultaneously, handle interruptions, and adjust tone live, rolling out in ChatGPT with High/Medium/Instant tiers alongside a new draggable voice bubble UI

This page lays out the subscription plans needed to unlock the FT Lex article “That sweater isn’t fooling anyone, big guy.” It details trial offers, monthly and annual pricing tiers and the features included—such as the FT App, newsletters and gift articles.

• This is a paywall page, not the actual Lex article—no content from "That sweater isn't fooling anyone, big guy" is included.
• FT Edit annual deal: $49/year (normally $59.88), with two months free and 8 curated articles daily.
• Trial offer: $1 for four weeks, then jumps to $75/month for full digital access.
• Standard Digital ($45/month) vs Premium Digital ($75/month) differ mainly by Lex column access and gift-article allowance (10 vs 20).

Claude Code lets developers write, debug, and ship code directly from their terminal, IDE, Slack, or browser by describing tasks in natural language. It integrates with VS Code, JetBrains, iOS, and desktop, reads your local codebase, runs tests, and opens pull requests. Pricing is bundled into Anthropic’s Pro, Max, Team, and Enterprise plans with varying usage limits.

• Claude Code works across terminal, IDE (VS Code, JetBrains), desktop, Slack, browser, and iOS, all pulling from local codebase context to write, debug, run tests, and open PRs.
• Pro plan ($20/month or $200/year) includes Sonnet 4.6 and Opus 4.6 but is limited to short sprints in small repos.
• Max plans multiply usage limits 5x or 20x over Pro, with Team/Enterprise tiers adding seat management, higher API rates, and advanced security.

The article outlines five pricing strategies for AI app companies to avoid destructive discount battles. It covers recognizing available enterprise budgets, maintaining a premium position, experimenting with pricing units, offering flexible billing models, and making proofs of concept cheap without cutting core product prices.

• Enterprises often run 2-3 AI tools in parallel and aren't actually squeezing costs, so matching competitors' discounts can just leave money on the table.
• Premium positioning can command a 10-20% price cushion, but it erodes fast as new entrants ship slicker UIs or better benchmarks, so track sales cycle length, win/loss language, and churn to catch the shift.
• Changing the billing unit (per-outcome, per-workflow, gainshare) rather than cutting price breaks apples-to-oranges comparisons and reframes the conversation around results instead of "cheapest seat."