Jamal Carter

Compared a few options

Evaluated this against two competitors. Where it wins: lead enrichment and qualification and enriches leads with contextual data. Where it lags: lead quality depends on source data accuracy. On balance the feature set — especially pipeline building workflows — justifies the 5 stars for our use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is competing AI agents per query — handled better than most — and citations attached to claims improve verifiability. Multi-agent responses can be slower than single-model chat is my one real gripe. Worth the time if this is your use case.

Solid for our team

We rolled this out across the team last quarter and shows relevant formulas alongside calculations. Formula references for each problem fits neatly into how we already work, and support for multiple physics topics removed a step we used to do by hand. but it has held up under daily use.

Does the job

Pretty happy overall. Support for 15+ ad networks just works and useful for scaling multi-channel campaigns. Pricing and feature depth may vary by channel can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and lower learning curve than prompt-only tools. Region-specific inpainting fits neatly into how we already work, and works on existing photos and uploads removed a step we used to do by hand. Quality depends on brush precision, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. Multi-step AI workflow orchestration is exactly what I needed, and fast prototyping with quick time to production. I do wish visual approach may limit highly custom logic, but I reach for it almost every day now and it just clicks.

Use it every day

Honestly didn't expect to like it this much. Image-to-video animation is exactly what I needed, and outputs at 1080p resolution. but I reach for it almost every day now and it just clicks.

Years in this space

I've evaluated a lot of these over the years. What stands out here is ghibli-inspired color and texture rendering — handled better than most — and fast generation from uploaded photos. Potential copyright sensitivities around the Ghibli name is my one real gripe. Worth the time if this is your use case.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on export options for common game engines, and useful for indie and small-studio pipelines caught me off guard. Limited control compared to manual 3D tools is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Compared a few options

Evaluated this against two competitors. Where it wins: rust-native agent runtime and designed for autonomous, multi-step agents. Where it lags: requires Rust expertise to adopt. On balance the feature set — especially secure, sandboxed execution — justifies the 4 stars for our use case.

Compared a few options

Evaluated this against two competitors. Where it wins: fast turnaround for launches and affordable alternative to agencies. On balance the feature set — especially aI-generated script and storyboard — justifies the 5 stars for our use case.

Solid for our team

We rolled this out across the team last quarter and conversational, natural-language trip planning. Day-by-day schedule organization fits neatly into how we already work, and saveable, shareable trip plans removed a step we used to do by hand. Booking still requires third-party sites, which is the main caveat, but it has held up under daily use.

Years in this space

I've evaluated a lot of these over the years. What stands out here is centralized CMS dashboard for conversations — handled better than most — and works for both sales and support use cases. Setup and AI training require initial effort is my one real gripe. Worth the time if this is your use case.

Compared a few options

Evaluated this against two competitors. Where it wins: operations process orchestration and integrates with existing business systems. Where it lags: enterprise focus may not suit small teams. On balance the feature set — especially finance task automation — justifies the 4 stars for our use case.

Use it every day

Honestly didn't expect to like it this much. Custom proposals and business cases is exactly what I needed, and reduces manual work for sales and marketing. I do wish output still needs human review for high-stakes deals, but I reach for it almost every day now and it just clicks.

Use it every day

Honestly didn't expect to like it this much. AI-driven multi-factor stock scoring is exactly what I needed, and saves time on initial stock screening. I do wish coverage may vary across smaller markets, but I reach for it almost every day now and it just clicks.

Compared a few options

Evaluated this against two competitors. Where it wins: automated change and anomaly explanations and explains the causes behind metric changes. On balance the feature set — especially plain-language reporting without dashboards — justifies the 5 stars for our use case.

Solid for our team

We rolled this out across the team last quarter and it saves real time. The API fits neatly into how we already work, and the API removed a step we used to do by hand. Pricing gets steep at scale, which is the main caveat, but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on content workflow automation, and generates content drafts at scale caught me off guard. still, I'd recommend giving it a real trial.

Years in this space

I've evaluated a lot of these over the years. What stands out here is natural language task instructions — handled better than most — and open architecture suitable for research and extension. Worth the time if this is your use case.

Use it every day

Honestly didn't expect to like it this much. Private, no-account tracking is exactly what I needed, and simple, focused interface. but I reach for it almost every day now and it just clicks.

Does the job

Pretty happy overall. The core workflow just works and it saves real time. The mobile experience lags can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and reduces manual code review effort. Support for multiple languages fits neatly into how we already work, and support for multiple languages removed a step we used to do by hand. May miss complex logic bugs, which is the main caveat, but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and support is responsive caught me off guard. A few rough edges remain is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Compared a few options

Evaluated this against two competitors. Where it wins: the onboarding and support is responsive. Where it lags: pricing gets steep at scale. On balance the feature set — especially the onboarding — justifies the 4 stars for our use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is performance and accuracy evaluation — handled better than most — and catches regressions before production deployment. Requires setup and test case definition is my one real gripe. Worth the time if this is your use case.

Use it every day

Honestly didn't expect to like it this much. Performance analytics and reporting is exactly what I needed, and integrates with existing CRMs and knowledge sources. but I reach for it almost every day now and it just clicks.

Use it every day

Honestly didn't expect to like it this much. Browser extension setup is exactly what I needed, and automates repetitive LinkedIn outreach. I do wish automation may conflict with LinkedIn's usage policies, but I reach for it almost every day now and it just clicks.

Solid for our team

We rolled this out across the team last quarter and accessible to non-technical teams. Performance monitoring dashboard fits neatly into how we already work, and workflow automation across apps removed a step we used to do by hand. Enterprise-grade controls unclear, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. Decoupled UI from app binaries is exactly what I needed, and native rendering on iOS, macOS, and tvOS. but I reach for it almost every day now and it just clicks.

Does the job

Pretty happy overall. The API just works and it is genuinely easy to set up. A few rough edges remain can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Compared a few options

Evaluated this against two competitors. Where it wins: continuous agent tuning based on past calls and affordable pricing for small businesses. Where it lags: per-call pricing can add up for high volumes. On balance the feature set — especially continuous agent tuning based on past calls — justifies the 4 stars for our use case.

Use it every day

Honestly didn't expect to like it this much. The API is exactly what I needed, and it saves real time. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Solid for our team

We rolled this out across the team last quarter and it saves real time. The dashboard fits neatly into how we already work, and the onboarding removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.

Years in this space

I've evaluated a lot of these over the years. What stands out here is aI-generated test cases from endpoint specs — handled better than most — and natural-language test generation. Worth the time if this is your use case.

Use it every day

Honestly didn't expect to like it this much. Cross-team analytics and reporting is exactly what I needed, and reduces need for multiple disconnected SaaS tools. but I reach for it almost every day now and it just clicks.

Compared a few options

Evaluated this against two competitors. Where it wins: aPI-based integration and works with multiple model providers. Where it lags: adds an extra routing layer to manage. On balance the feature set — especially aPI-based integration — justifies the 5 stars for our use case.

Solid for our team

We rolled this out across the team last quarter and guided workflow from concept to deployment. Marketing and community growth support fits neatly into how we already work, and smart contract deployment tooling removed a step we used to do by hand. Limited transparency around supported chains and fees, which is the main caveat, but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on buying intent and job-change signals, and consolidates prospecting and outreach in one tool caught me off guard. Learning curve to use all modules effectively is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Does the job

Pretty happy overall. One-click report generation just works and consolidates multiple data points into one view. Not a substitute for licensed financial advice can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and simple paste-and-rewrite workflow. Web-based input interface fits neatly into how we already work, and tone and style adjustments removed a step we used to do by hand. but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated customer data capture, and scales conversations without added headcount caught me off guard. Niche focus may not suit general use is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Solid for our team

We rolled this out across the team last quarter and supports structured mitigation planning. AI-driven risk identification and analysis fits neatly into how we already work, and risk reporting and documentation tools removed a step we used to do by hand. Effectiveness depends on quality of input data, which is the main caveat, but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on expressive emotion modeling, and works from minimal inputs like text or audio caught me off guard. still, I'd recommend giving it a real trial.

Compared a few options

Evaluated this against two competitors. Where it wins: photorealistic rendering and useful for mockups and marketing assets. On balance the feature set — especially photorealistic rendering — justifies the 5 stars for our use case.

Compared a few options

Evaluated this against two competitors. Where it wins: browser-based, no install required and works on portrait and full-body photos. Where it lags: privacy considerations when uploading personal photos. On balance the feature set — especially works on a range of body types and poses — justifies the 5 stars for our use case.

Use it every day

Honestly didn't expect to like it this much. Vector store and feature store built in is exactly what I needed, and automated model retraining and monitoring. I do wish pricing tiers can get expensive at scale, but I reach for it almost every day now and it just clicks.

Does the job

Pretty happy overall. Drag-and-drop UI editor with prebuilt components just works and chat-based app generation speeds up prototyping. but no dealbreakers — I'd recommend it to a friend without hesitating.

Use it every day

Honestly didn't expect to like it this much. Regularly updated catalog is exactly what I needed, and wide range of AI tools in one place. but I reach for it almost every day now and it just clicks.

Does the job

Pretty happy overall. Automatic punctuation and profanity filtering just works and customization with phrase hints and adapted models. Best accuracy often needs tuning per use case can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Does the job

Pretty happy overall. API access via Anthropic, AWS, and GCP just works and available across multiple cloud platforms. but no dealbreakers — I'd recommend it to a friend without hesitating.

Does the job

Pretty happy overall. The automation just works and it is genuinely easy to set up. The docs could be deeper can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and works from a single reference image. Photo upload from device fits neatly into how we already work, and public web image indexing removed a step we used to do by hand. but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on sentiment and share of voice analysis, and covers multiple major AI platforms in one dashboard caught me off guard. still, I'd recommend giving it a real trial.

Compared a few options

Evaluated this against two competitors. Where it wins: prompt-driven workflow and combines generation and editing in one interface. Where it lags: free tiers may include usage limits. On balance the feature set — especially prompt-driven workflow — justifies the 4 stars for our use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is aI resume parsing and candidate matching — handled better than most — and purpose-built for recruitment agencies. Worth the time if this is your use case.

Years in this space

I've evaluated a lot of these over the years. What stands out here is edge deployment via Jetson devices — handled better than most — and scales from single cameras to large deployments. Worth the time if this is your use case.

Does the job

Pretty happy overall. Text-to-image tattoo generation just works and fast generation of multiple design variations. Limited control over precise placement and scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Does the job

Pretty happy overall. Business process customization just works and automates repetitive business tasks. but no dealbreakers — I'd recommend it to a friend without hesitating.

Compared a few options

Evaluated this against two competitors. Where it wins: digital twin of the physical city and open to external startup and research partners. On balance the feature set — especially partner program for startups and researchers — justifies the 5 stars for our use case.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on image and media-based character input, and reduces need for animation or choreography skills caught me off guard. still, I'd recommend giving it a real trial.

Use it every day

Honestly didn't expect to like it this much. Quick onboarding for new sites is exactly what I needed, and reduces manual auditing effort. I do wish gEO is still an evolving discipline with uncertain metrics, but I reach for it almost every day now and it just clicks.

Years in this space

I've evaluated a lot of these over the years. What stands out here is free tier available — handled better than most — and fast generation in seconds. Output style may feel generic is my one real gripe. Worth the time if this is your use case.

Solid for our team

We rolled this out across the team last quarter and accessible to non-English speakers. Multilingual support for Indian languages fits neatly into how we already work, and mobile-friendly access removed a step we used to do by hand. but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on auto-generated captions and subtitles, and detects moments using chat and audio signals caught me off guard. still, I'd recommend giving it a real trial.

Solid for our team

We rolled this out across the team last quarter and doubles as SEO content and lead magnet. Embed and standalone page options fits neatly into how we already work, and sEO-friendly tool pages removed a step we used to do by hand. Output quality depends on prompt design, which is the main caveat, but it has held up under daily use.

Solid for our team

We rolled this out across the team last quarter and prompt-based controls for quick iteration. Iterative refinement of results fits neatly into how we already work, and web-based interface removed a step we used to do by hand. but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on aI-assisted candidate screening, and structured, skills-based candidate evaluation caught me off guard. AI decisions still need human oversight is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on integrations with CRM, ITSM, and knowledge bases, and purpose-built for technical B2B support caught me off guard. Onboarding and tuning can take time is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Solid for our team

We rolled this out across the team last quarter and useful for friends in different areas. Distance-balanced recommendations fits neatly into how we already work, and suggestions for venues near the midpoint removed a step we used to do by hand. May not account for traffic or transit quality, which is the main caveat, but it has held up under daily use.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on support for agile, iterative workflows, and tailored for startup workflows caught me off guard. Less suited for large enterprise codebases is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Does the job

Pretty happy overall. Developer monetization options just works and lowers barrier to deploying agentic workflows. but no dealbreakers — I'd recommend it to a friend without hesitating.

Does the job

Pretty happy overall. Lead capture and qualification just works and can be trained on business-specific content. but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and consistent style across batches. High-resolution exports fits neatly into how we already work, and batch image creation removed a step we used to do by hand. Limited fine-grained manual control, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. AI-powered call and chat transcription is exactly what I needed, and automated transcription and tagging saves manual review time. but I reach for it almost every day now and it just clicks.

Compared a few options

Evaluated this against two competitors. Where it wins: torchScript and ONNX export compatibility and active maintenance by the PyTorch team. Where it lags: limited support for non-vision modalities. On balance the feature set — especially native support for reading and decoding images and video — justifies the 4 stars for our use case.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on custom tool and API integration, and strong open-source community caught me off guard. Debugging multi-agent runs can be complex is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Years in this space

I've evaluated a lot of these over the years. What stands out here is decision-oriented query handling — handled better than most — and consistent eight-dimension comparison framework. Worth the time if this is your use case.

Does the job

Pretty happy overall. The automation just works and it is genuinely easy to set up. Pricing gets steep at scale can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Use it every day

Honestly didn't expect to like it this much. Personal prompt library and tagging is exactly what I needed, and searchable library across many use cases. I do wish limited model-specific tuning guidance, but I reach for it almost every day now and it just clicks.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on custom knowledge base training, and integrates with common business tools and channels caught me off guard. still, I'd recommend giving it a real trial.

Does the job

Pretty happy overall. Compliance with regional mandates just works and developer-friendly API. Limited appeal outside Peppol regions can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Compared a few options

Evaluated this against two competitors. Where it wins: aI-driven sleep pattern analysis and integrates skin recovery guidance. On balance the feature set — especially cooling and temperature suggestions — justifies the 5 stars for our use case.

Solid for our team

We rolled this out across the team last quarter and reduces prompt engineering and parsing overhead. Tooling for prompt templating fits neatly into how we already work, and support for multiple LLM backends removed a step we used to do by hand. Constrained decoding may add inference overhead, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. The API is exactly what I needed, and the value for money is strong. I do wish the docs could be deeper, but I reach for it almost every day now and it just clicks.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated test maintenance and self-healing, and integrates with CI/CD and developer workflows caught me off guard. Pricing and access geared toward team/enterprise use is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Solid for our team

We rolled this out across the team last quarter and supports both founder-led and team-led posting programs. Templates and prompts for B2B use cases fits neatly into how we already work, and templates and prompts for B2B use cases removed a step we used to do by hand. Pricing may be steep for solo creators, which is the main caveat, but it has held up under daily use.

Solid for our team

We rolled this out across the team last quarter and no video editing skills required. Shareable clips for social platforms fits neatly into how we already work, and image-to-video AI conversion removed a step we used to do by hand. Limited creative control over output, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. Multi-channel workflow coordination is exactly what I needed, and multiple specialized agents cover different marketing tasks. I do wish niche focus limits usefulness outside Web3, but I reach for it almost every day now and it just clicks.

Does the job

Pretty happy overall. Fee and refund discrepancy checks just works and identifies multiple categories of FBA discrepancies. but no dealbreakers — I'd recommend it to a friend without hesitating.

Compared a few options

Evaluated this against two competitors. Where it wins: lTX-2 text-to-video generation and useful for rapid concept visualization. Where it lags: clip length is typically limited. On balance the feature set — especially prompt-based scene control — justifies the 4 stars for our use case.

Does the job

Pretty happy overall. Destination and activity recommendations just works and reduces research time across multiple sites. Suggestions may need manual verification can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The onboarding fits neatly into how we already work, and the integrations removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.

Use it every day

Honestly didn't expect to like it this much. Custom summary formats and templates is exactly what I needed, and useful for studying and research. I do wish summary quality depends on video transcript accuracy, but I reach for it almost every day now and it just clicks.

Years in this space

I've evaluated a lot of these over the years. What stands out here is streamlined shopping workflow — handled better than most — and saves time compared to manual browsing. Limited to participating brands and retailers is my one real gripe. Worth the time if this is your use case.

Compared a few options

Evaluated this against two competitors. Where it wins: stereo depth perception with 3D object localization and strong community and ROS support. Where it lags: limited by Myriad X compute for very large networks. On balance the feature set — especially support for OpenVINO, PyTorch, and TensorFlow models — justifies the 4 stars for our use case.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on keyword search across transcripts, and automatic summaries and action item extraction caught me off guard. still, I'd recommend giving it a real trial.

Use it every day

Honestly didn't expect to like it this much. Text-to-floor-plan generation is exactly what I needed, and useful for non-designers and quick mockups. I do wish less precise than professional CAD tools, but I reach for it almost every day now and it just clicks.

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on short animated clip output, and built on the recent Kling 2.6 model caught me off guard. Clip length and resolution are limited is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Solid for our team

We rolled this out across the team last quarter and reduces workload on data teams for routine questions. Connections to data warehouses and BI tools fits neatly into how we already work, and semantic layer and metric awareness removed a step we used to do by hand. but it has held up under daily use.

Sto cercando di automatizzare le ricerche competitive per il mio progetto e ho visto il Multi Agent Researcher (Grade A). Qualcuno lo usa già? Mi interessa soprattutto capire se coordina bene i 4 agenti in parallelo e se la sintesi finale è affidabile per decision-making. Ha senso usarlo insieme a Taskade Open Source per organizzare i workflow?

Dzięki za te wskazówki! Zacząłem eksportować diagramy jako SVG, bo mogę je potem edytować w innych narzędziach lub wstawiać do prezentacji bez straty jakości. Czy Ty łączysz Vizcept z jakimś systemem zarządzania treścią, żeby zmniejszyć ręczne kopiowanie materiałów?

Estou usando Claude com gh CLI em produção há alguns meses e realmente vale a pena! A curva de aprendizado é menor do que parece - comecei migrando scripts bash simples (como validação de commits e deployments) e Claude ajuda bastante a estruturar comandos. Minha sugestão é começar pequeno, automatizando apenas um workflow crítico (ex: PR reviews ou deployments de staging) e deixar Claude sugerir melhorias conforme você escreve os prompts - isso acelera muito o aprendizado. Qual é seu workflow de CI/CD mais complexo que gostaria de automatizar primeiro?

Ottima osservazione sulla configurazione per severity! Nel mio caso con agent che processano input utente, la prompt injection era il vero killer - ho impostato Skill Scanner solo su severity "high" e "critical" per i dati sensibili, riducendo i checkpoint dal 40% al 15% dell'overhead totale. La domanda: stai usando Skill Scanner anche su step intermedi dell'agent o solo sugli input iniziali? Potrebbe fare grande differenza nella performance.

I've been testing APE AI to build a custom support agent without touching code, and honestly it's saved me weeks of dev time. The no-code builder is intuitive enough that I could configure it myself. Has anyone else deployed agents through APE AI at scale? Curious about reliability and whether you hit any limitations when things got complex.

Vizologi is definitely a time-saver for the canvas structure, but I'd recommend treating the auto-generated insights as a starting point rather than gospel—cross-reference key claims with SageScan if you're tracking commodity/market trends, since it specializes in deeper futures intelligence. For accuracy validation, I spot-check 2-3 competitor insights against their actual financials/announcements before trusting the data for strategy decisions. Regarding tiers, starter usually covers basic competitor mapping, but if you need custom reports or deeper market context, pro's worth it—what's your main use case, tactical analysis or board-level strategy?

I've used Pinecone with local models like Mistral and it works great for RAG—the latency is solid since Pinecone handles the vector search while your local LLM does inference locally. The main gotcha is that you'll still pay Pinecone's ingestion/query costs even with free local models, so for smaller scales it can add up; consider self-hosted alternatives like Milvus or Weaviate if cost is tight. Have you estimated your monthly query volume yet? That's usually the deciding factor for whether the managed service pays off versus self-hosting.

Onlook semble vraiment puissant pour l'itération visuelle! Pour compléter votre setup, avez-vous exploré ReactAgent pour générer directement les composants React à partir de user stories? Ça pourrait encore accélérer votre workflow avant même d'entrer dans Onlook. Personnellement, je garde aussi un contrôle manuel sur les déploiements critiques mais je m'intéresse à comment automatiser les déploiements de preview.

If pricing is the blocker, AGRIVI Engage has a free tier that's genuinely usable to evaluate. Don't commit annual until you've stress-tested your actual use case.

I've been running LLM evals manually for a few months and it's become a bottleneck. Considering Log10 for automated error detection since we need to scale testing across multiple model versions. Has anyone here integrated it into their pipeline? Curious about false positive rates and whether the real-time detection actually catches things your manual QA would miss.

Honestly depends on your volume. Below a certain scale Solda AI is overkill; we got further with something lighter and only upgraded later.

Sharing what's working: Jsonify for the heavy lifting and Alora AI to fill the gaps. Took a week to get the workflow smooth but now it mostly runs itself. Curious what everyone else is pairing these days.