15 New AI Tools Added This Week: Production Benchmarks, Image Workflows, and Practical Automation
This week’s additions, ending September 14, span a wide range of real-world AI work: benchmarking models against private production code, managing SSH infrastructure, generating 3D assets and video, improving resumes, and routing requests across major language models.
The strongest theme is practical control. Several tools focus less on novelty and more on repeatability, pricing clarity, interoperability, and useful outputs. There is also a noticeable push toward multimodal workflows, with new products handling images, video, audio, 3D models, and visual references in a single process.
Standout Tools
Real: Benchmarking AI on Production Code
Real (Productivity, PAID) addresses one of the biggest weaknesses in AI coding evaluations: the gap between public benchmarks and messy, proprietary software work. Real-SWE benchmarks frontier AI models on private production codebases licensed from real companies.
The evaluation is substantial rather than merely illustrative. It covers eight model and harness configurations, ten tasks, and 640 scored rollouts. That structure gives engineering teams a more credible way to compare coding agents on work that resembles their own environments. For companies deciding whether an AI coding system is ready for production, the emphasis on private codebases and repeatable scoring makes Real particularly relevant.
termique: A Cross-Platform SSH Client With an AI Assistant
termique (Productivity, FREE) is a free SSH client for Mac, Windows, and Linux that puts hosts, SFTP, SSH keys, and synchronization in one place. Its end-to-end encrypted sync is the most important detail for teams that move between machines but still need their connection data handled carefully.
The built-in AI terminal assistant adds a modern layer to a familiar workflow. It could help users interpret commands, troubleshoot sessions, or generate terminal guidance without switching applications. The product is notable because it treats AI as part of infrastructure work rather than as a standalone chatbot. A free, cross-platform client with encrypted synchronization also gives it a low-friction entry point for individual developers and small teams.
ModelGenerator: Prompt or Photo to Exportable 3D Assets
ModelGenerator (3D, FREEMIUM) creates textured, ready-to-export 3D models from either a prompt or a photo. It supports GLB export, which makes the output immediately useful for games, augmented and virtual reality, 3D printing, and product design.
The export format is central to the tool’s appeal. A model generator becomes much more useful when its assets can move into an existing production pipeline instead of remaining trapped in a web preview. The combination of text and image input also supports two different workflows: creating something from an idea, or turning a known object into a usable digital asset. Users should still inspect topology, texture quality, scale, and printability before treating generated models as production-ready.
LLMFly AI: One OpenAI-Compatible API for Multiple Models
LLMFly AI (Productivity, PAID) provides access to GPT, Claude, Gemini, and Grok through one OpenAI-compatible API. For developers, that compatibility is the key selling point: applications built around a familiar request format can explore multiple providers without rebuilding their entire integration layer.
The service also surfaces model rates, supports API key creation, and lets users make a first request quickly. That makes it useful for teams comparing capability and cost across providers, as well as developers who want a simpler path to model switching. The tradeoff is that an aggregation layer introduces another dependency, so production users will need to evaluate latency, limits, privacy terms, uptime, and how provider-specific features are exposed.
Reference to Video: Multimodal Control for AI Video
Reference to Video (Productivity, FREEMIUM) generates AI videos from image, video, and audio references. It offers controls for characters, products, motion, camera direction, style, sound, and timing in one workflow.
That breadth is what distinguishes it from a basic text-to-video prompt box. Reference-driven generation is often more useful when consistency matters: a product needs to stay recognizable, a character needs to retain visual identity, or a scene needs to follow a specific movement and camera plan. Bringing image, video, and audio inputs together also points toward a more directed production process, although output consistency and editing precision remain the practical tests for this category.
Quick Mentions
- Dario Amodei (Productivity, FREEMIUM) presents the AI perspective of Anthropic’s CEO and co-founder. Its focus is not a conventional utility but a substantial argument for AI’s potential to improve human life, including accelerating medical breakthroughs, economic growth, abundance, democracy, and freedom. It is worth reading as a statement of AI ambition and urgency from one of the field’s most prominent leaders.
- NameTag: Meta Sued Over AI Training Data, Surprising Risk (Productivity, FREEMIUM) examines a lawsuit alleging that Facebook and Instagram photos were used for face recognition and AI training. The product’s value is its close reading of the 66-page complaint and its effort to count and explain the gaps. It is a useful addition for anyone tracking legal, privacy, and data-governance risks around AI training.
- Session Context (Productivity, FREEMIUM) explains what a single web page can determine about the requesting browser, device, and person. It presents the findings in plain English while also showing the raw values behind each claim, making it useful for privacy reviews, security education, and understanding browser fingerprinting.
- TokenDelivery.ai (Productivity, PAID) focuses on open-weight models and fully deterministic output. Its promise is byte-for-byte repeatability at the floor price, which targets teams that need reproducible results for testing, regulated workflows, or systems where output drift creates operational problems.
- AI Writing Assistant (Writing, PAID) helps users improve content with grammar correction and more engaging rewrites. Getsolved’s assistant is aimed at shortening the path from rough draft to publishable copy, making it relevant for teams that need fast editing support within a content workflow.
- NexusAi (Productivity, PAID) is a discovery and comparison hub for AI tools, AI-powered SaaS, and conventional software with built-in AI features. Its inclusion of practical prompts, workflows, categories, and industry insights makes it more useful than a simple directory for people evaluating how tools fit together.
- HISAB 360 (AI, Finance, Productivity, FREEMIUM) is an AI-powered Excel add-in for accountants. Its positioning inside Excel matters: finance professionals can explore AI assistance in the spreadsheet environment where much of their reporting, analysis, and accounting work already happens.
- AI Resume Builder (Productivity, FREEMIUM) from FreeResume can import an existing resume, generate AI-written bullet points, and check an ATS score for free. That combination targets the full optimization loop, from rewriting experience to checking whether the result is likely to pass automated screening.
- Create with GPT Image 2.5 (Productivity, FREEMIUM) offers image creation and editing with GPT Image 2.5. Side-by-side Flare and Sunburst comparisons, proven starting prompts, and pay-as-you-go pricing make it approachable for users who want to evaluate results before committing to a larger workflow.
- GPT Image 2.5 AI Image Generator (Image Generation, PAID) provides a more reference-oriented space for GPT Image 2.5, including official examples, reference editing, transparent backgrounds, and explicit credit pricing. Those details make it especially relevant to users who need controlled edits and predictable generation costs.
What to Watch Next Week
Expect more attention on evaluation quality. Real’s production-code approach reflects a broader shift away from impressive demos and toward tests that measure reliability on private, domain-specific work. Teams will increasingly ask whether a model performs well on their repositories, documents, data, and approval processes, not just on public leaderboards.
Interoperability and cost control should remain major themes too. OpenAI-compatible gateways such as LLMFly AI and deterministic inference services such as TokenDelivery.ai address two persistent concerns: how easily a team can change models, and how consistently it can reproduce results. Pricing transparency will become more important as multimodal generation moves into routine production use.
Finally, watch for more tools that combine multiple media types in one workflow. Reference to Video, ModelGenerator, and the GPT Image 2.5 products all point toward AI systems that accept structured visual references rather than relying on text alone. The next stage will be judged by control, consistency, export quality, and how cleanly these tools fit into existing creative and technical pipelines.