See what launched, what changed, and what it costs.
Track AI product launches, model updates, pricing changes and tested workflows. Each record separates official sources, company claims, Kingy testing and third-party evidence so you can see what is known and what remains unverified.
Editorial submissions and sponsor-fit reviews are separate. Payment does not influence Kingy scores, verdicts, rankings, evidence labels, or publication decisions.
Launch tracker
Browse the AI Launch Tracker
Search source-backed launch records, then use common filters first and advanced filters only when you need a narrower view.
Server-rendered fallback. Checking the live launch index…
Each deployment begins with a defined job and limited access to the knowledge and systems required for that job. Companies set policies, approved actions, and escalation conditions. Simulations…
Recheck dueFree: NoAPI: NoOpen: Unknown
Business-friendly
OpenAI Presence addresses a concrete need: The launch packages agent design, deployment controls, operational evaluation, and post-launch improvement into one managed enterprise offering rather…
Rex launched a set of governed AI agents for collections, customer-portal work, accounts-receivable inboxes, cash application, and dispute handling.
Recheck dueFree: NoAPI: UnknownOpen: Unknown
Business-friendly
Rex addresses a concrete need: Order-to-cash work crosses inboxes, finance systems, and customer portals, making it a useful test of whether agentic software can…
Creed launched a portable Markdown-based context file that gives supported AI agents a user-controlled record of preferences, projects, and working style.
Creed addresses a concrete need: Users increasingly move among several assistants, while the context each one learns usually stays trapped in a product. The…
Deck launched an AI chief of staff with its own inbox, letting a user copy selected email threads, assign follow-up work, and schedule recurring routines without granting full…
Recheck dueFree: YesAPI: UnknownOpen: Unknown
Beginner-friendlyBusiness-friendly
Deck addresses a concrete need: Giving an assistant its own inbox offers a narrower permission model than granting access to an entire mailbox, while…
Lunen.ai launched an early-access enterprise orchestration layer for defining agents in plain language and governing their tools, data access, approvals, schedules, and audit trails.
Recheck dueFree: UnknownAPI: YesOpen: Unknown
Business-friendly
Lunen.ai addresses a concrete need: Enterprises experimenting with agents need controls at the action layer, not only prompt guidelines. The main limitation is this:…
Fuzzy AI launched a relationship-first sales workspace that combines prospect research, LinkedIn engagement, personalized outreach, sequencing, and human-reviewed replies.
Recheck dueFree: NoAPI: UnknownOpen: Unknown
Beginner-friendlyBusiness-friendly
Fuzzy AI addresses a concrete need: Fuzzy reflects a shift from high-volume AI prospecting toward systems that try to coordinate research, public engagement, and…
Skippr AI launched an embeddable real-time agent that can speak with users, understand an application's context, demonstrate workflows, and operate the product with approval controls.
Recheck dueFree: NoAPI: YesOpen: Unknown
Business-friendlyDeveloper-friendly
Skippr AI addresses a concrete need: Skippr represents a product-interface trend in which software companies embed an agent that can demonstrate and operate the…
GitHub Copilot for Jira reached general availability, adding real-time Copilot cloud-agent progress inside Jira, post-session steering and simplified onboarding for connected GitHub repositories.
Recheck dueFree: NoAPI: UnknownOpen: No
Business-friendlyDeveloper-friendly
The GA release closes useful workflow gaps by returning agent progress and follow-up control to Jira. The integration also moves ticket context into a…
Genspark announced a $100 million Series B extension that it says brought the round to $485 million at a $2.6 billion post-money valuation, alongside a chief revenue officer…
The extension increases Genspark’s stated capacity to pursue enterprise distribution, but capital raised is not product validation. The funding, valuation, ARR, investor, model-count and…
CoSupport says version 2.0 replaces its earlier single-pass retrieval flow with multi-step search and validation. The update adds per-reply decision logs, an Agentic API for actions in connected…
UnknownFree: NoAPI: YesOpen: No
Clear use caseBusiness-friendlyTraction signal
Watch. CoSupport AI 2.0 is a substantive operations-focused update, particularly for teams that need decision visibility and actions through Shopify or Stripe. Its performance,…
CrowdStrike announced Continuous Identity for AI Agents, a Falcon Next-Gen Identity Security capability intended to give agents verifiable workload identities and authorize each action using owner, caller, device-risk…
Recheck dueFree: NoAPI: NoOpen: No
Business-friendly
CrowdStrike’s continuous-authorization model addresses a real weakness in long-lived agent credentials, and the announcement is unusually specific about owner, caller, device and delegation context.…
OpenAI launched a global program for firms that build, sell and deliver AI solutions, with Select, Advanced and Elite tiers, a public partner directory, planned specializations and a…
Recheck dueFree: NoAPI: NoOpen: No
Beginner-friendlyBusiness-friendly
The Partner Network gives enterprises a more structured way to discover OpenAI-focused delivery firms and gives partners clearer tiers and program infrastructure. A directory…
OpenAI announced an agreement to acquire Ona, subject to customary closing conditions, with the stated intent to bring Ona’s secure, persistent, customer-controlled cloud execution and orchestration technology into…
Recheck dueFree: NoAPI: NoOpen: No
Business-friendlyDeveloper-friendly
Ona gives OpenAI a credible route toward persistent, governed execution for Codex, but the announcement is a transaction and product-direction statement, not proof that…
Replit introduced SEO Agent, which scans published apps, identifies discoverability issues, and can apply fixes for web search and AI search visibility.
Recheck dueFree: YesAPI: NoOpen: No
Beginner-friendlyBusiness-friendly
Launch readiness
6.4 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Replit introduced SEO Agent, which scans published apps, flags discoverability issues, and can apply fixes for web and AI search visibility (replit.com). Replit Builders…
Mistral AI relaunched Le Chat as Vibe, a unified agent for long-horizon work and coding with Work Mode, Code Mode, VS Code support, CLI updates, and mobile access.
Recheck dueFree: YesAPI: YesOpen: No
Business-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.1 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
Anthropic released Claude Opus 4.8 with improved coding, agentic task performance, professional work quality, effort controls, and Claude Code dynamic workflows.
Recheck dueFree: NoAPI: YesOpen: No
Business-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.9 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Anthropic released Claude Opus 4.8 with improved coding, agentic task performance, effort controls, and Claude Code dynamic workflows, priced at $5 per million input…
Cohere released Command A+ as an Apache 2.0 open-source MoE model optimized for reasoning, multilingual, multimodal, RAG, and agentic workflows.
Recheck dueFree: YesAPI: YesOpen: Yes
Business-friendlyDeveloper-friendlyTraction signal
Launch readiness
7.2 / 10
Demo evidence
Not scored yet
Creator-story fit
Not scored yet
Score definitions and rubric
These are launch-record readiness heuristics, not product ratings.
Launch readiness
How complete and reviewable the launch record is, not the quality of the product.
Inputs and weights: Launch date 15%; qualifying source 10%; what launched 10%; demo 15%; category 10%; audience 10%; editorial assessment 10%; traction evidence 10%; creator or audience fit 10%.
Evidence inputs: Reviewed launch metadata, public source links, demo links, taxonomy, audience, editorial notes, and recorded traction signals.
Demo evidence
Whether the record contains useful, reviewable demonstration evidence; it is not a rating of product output quality.
Inputs and weights: Working demo URL 45%; video walkthrough 25%; clear description of what launched 10%; audience 10%; editorial assessment 10%.
Evidence inputs: Demo and video URLs plus the reviewed launch description, audience, and editorial notes.
Creator-story fit
Whether a launch has enough demonstrable evidence and audience relevance for a useful creator story; it does not predict views or guarantee coverage.
Inputs and weights: Demo evidence 25%; visual creator category 15%; audience 15%; editorial assessment 15%; traction evidence 10%; pricing clarity 10%; API or open-weight evidence 10%.
0.0–10.0. A present qualifying input receives its published weight; a missing input receives zero. Scores are rounded to one decimal.
Assigned by
Suggested by the deterministic field-completeness helper and assigned or approved by a Kingy editorial reviewer.
Rubric and check date
Rubric version P0-2026-08-10. The record’s “Last verified” date is the score check date. Checked: 2026-06-08.
Confidence and missing data
Confidence depends on source completeness. “Not scored yet” means no reviewed value; “Needs review” means the value or score set failed validation.
Freshness
Recalculate after a material launch, source, demo, pricing, audience, or traction change and during the record freshness review.
Disputes
Use “Suggest a correction” on the record and cite the relevant evidence. Commercial relationships cannot buy or alter a score.
Cohere released Command A+ as an Apache 2.0 open-source MoE model built for reasoning, multilingual, multimodal, RAG, and agentic enterprise workflows (cohere.com). Developers, Enterprises,…
OpenAI released GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper for realtime voice reasoning, translation, and streaming transcription in the API.
Recheck dueFree: NoAPI: YesOpen: No
Business-friendlyDeveloper-friendlyTraction signal
A high-signal API launch because it moves voice AI toward realtime agents that can reason, translate, transcribe, and act during a conversation.
November 6 catch-up: Google DeepMind’s October 27 Genie 4 research preview, trusted-tester access, waitlist and limits on pricing and wider availability.
No source-ready records are tagged for today yet, so this section is showing the latest public launch records available in the tracker.
AI Models
Gemini Omni 1.2 Flash
Summary: Google launched Gemini Omni 1.2 Flash on November 5, 2026, with general availability through the Gemini API and Gemini for business.
Why it matters: Gemini Omni 1.2 Flash gives video teams longer native clips and editing controls. Check the selected output settings and actual billing units before estimating…
Pricing
The announcement lists US$0.07 per second for 720p video. The API changelog separately lists US$12 per million video output tokens. These are different billing units; check the applicable settings and current terms.
Summary: OpenAI introduced GPT-6 Cyber on November 5, 2026, with initial API and Codex access for select approved Daybreak Red customers. Wider access is planned.
Why it matters: GPT-6 Cyber is relevant to security teams eligible for Daybreak Red. Confirm approval, permitted use and pricing before planning work around its restricted API…
Pricing
Standard API rates per million tokens are US$20 input, US$2 cached input and US$100 output. Cache writes are US$25 for 30 minutes or US$50 for 12 hours per million tokens. Context length and processing choices can change rates; confirm approved-access terms and the current pricing table.
Summary: OpenAI released Images 2.6 on November 4, 2026, in ChatGPT and Codex across all subscription tiers, plus Sunburst and Flare API variants.
Why it matters: Images 2.6 expands image workflows across OpenAI products. Compare Sunburst and Flare on your own edits and check API billing separately from subscription limits.
Pricing
API rates per million tokens for both variants: image input US$8, cached image input US$2 and image output US$30; text input US$5 and cached text input US$1.25. Subscription limits and API billing are separate.
Summary: Mistral made improved Large 4 weights downloadable on October 29, 2026, following its October 6 public preview. The repository documents text and image input, text output,…
Why it matters: Mistral Large 4 gives teams a documented choice between an API and downloadable weights. Evaluate the commercial-license restriction, infrastructure cost and your own task…
Pricing
Mistral's USD model documentation lists $0.70 input, $0.07 cached input and $2.10 output per million tokens. Self-hosting costs are separate.
Summary: GitHub announced Copilot Fusion general availability on October 28, 2026, on all Copilot plans in VS Code, the Copilot app, Copilot CLI and JetBrains IDEs. Users…
Why it matters: GitHub Copilot Fusion gives existing Copilot users an orchestration option in supported clients. Confirm your plan’s models and effort settings, monitor credit use and…
Pricing
Each underlying model is billed at its standard rate with no separate Fusion charge. Official docs specify a 30% paid-plan model-cost discount through November 30, 2026. Multiple-model tasks can consume more credits.
Summary: Google announced Gemini 4 Carbon on October 28, 2026. Access starts with a subset of cyber defenders and is to expand gradually to trusted Fairwind partners.…
Why it matters: Gemini 4 Carbon is currently relevant to teams admitted to Google’s controlled cyber-defense rollout. Broader developer, business and consumer access is a future step.…
Pricing
Announced introductory API rates are US$2 per million input tokens and US$10 per million output tokens, with cached input 95% below the input rate. Google lists later rates of US$4 and US$20 after the introductory period, without a confirmed expiry here. These announced rates do not establish a generally callable public API.
Future-dated migration, shutdown, and retirement records are separated from today's launches and latest-record lists. These dates are upcoming operational events, not launches that have already happened.
AI Agents
OpenAI Agent Builder shutdown deadline: November 30, 2026
Summary: OpenAI announced the Agent Builder lifecycle deadline: the visual workflow builder is deprecated and scheduled to shut down on November 30, 2026. OpenAI documents two migration…
Why it matters: Export the workflow, select the Agents SDK or a suitable Workspace Agent, and test tools, state, permissions and guardrails before the November 30 shutdown.…
Pricing
Review replacement API costs or Workspace Agent plan requirements before migrating. This record does not estimate your workflow’s implementation or operating cost.
OpenAI reusable prompt objects and v1/prompts are scheduled to shut down November 30, 2026
Summary: OpenAI announced reusable-prompt deprecation on June 3, 2026. The documented November 30 shutdown covers reusable prompt objects and v1/prompts. Move managed prompt content into application-owned code…
Why it matters: Treat saved OpenAI prompt objects as a migration dependency before November 30. Move their content and variables into application code, then validate the generated…
Three GPT Image API models are scheduled to retire December 1, 2026
Summary: OpenAI schedules gpt-image-1-mini, gpt-image-1.5 and chatgpt-image-latest for API removal on December 1, 2026. Its current deprecation table recommends gpt-image-2.5-sunburst or gpt-image-2.5-flare.
Why it matters: OpenAI schedules gpt-image-1-mini, gpt-image-1.5 and chatgpt-image-latest for API removal on December 1, 2026. Its current deprecation table recommends gpt-image-2.5-sunburst or gpt-image-2.5-flare. Inventory the three…
Pricing
Review the current price of the chosen replacement and measure representative jobs. This lifecycle record does not establish workload cost or promise a cost-neutral migration.
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Fridays at 09:00 Vancouver time: source-checked AI changes, original tests and one practical thing to try. We skip a week when there is not enough verified material. Free. Unsubscribe anytime.
Kingy AI scoring is designed for launch discovery, editorial review, creator planning, and buyer trust checks.
Kingy score
A directional editorial score for launch clarity, source quality, audience fit, pricing visibility, demo usefulness, and practical buyer or creator value.
Demo score
A signal for whether the product can be shown, tested, explained, or compared without relying on vague announcement copy.
YouTube potential
A creator-fit signal for demos, tutorials, before-and-after workflows, explainers, reviews, and audience-specific product education.
Source verification
Records distinguish verified, needs verification, and founder submitted status using official URLs, source links, last-verified dates, and correction paths.
Pricing clarity
Pricing signals favor launches with visible pricing, free-plan status, pricing pages, API access notes, or clear uncertainty when pricing is not public.
Use-case clarity
Launches are easier to evaluate when the audience, workflow, category, demo, and alternative comparison are obvious from public sources.
Founder and sponsor fit
Founder submissions and sponsor interest are routing signals only; editorial review still checks source quality, public claims, demo clarity, and usefulness.
Verification labels
Verified means enough public source evidence is present, needs verification means the record needs more checking, and founder submitted means the entry came through the submission path.
Scores are editorial signals, not scientific benchmarks, paid placements, or guarantees.
Founder submission
Submit Your AI Launch
Founders can send a launch for editorial review when the public source trail is ready to verify.
What to include
Product name
Website
Launch date
What launched
Official source links
Pricing page
Demo/video
Company info
Category
Public funding info
Screenshots/media
Privacy note
Do not submit secrets, unreleased financials, private customer data, or regulated personal data.
Submit only public product, company, source, pricing, demo, and media details that Kingy AI can review without logging into private systems.
Fridays at 09:00 Vancouver time: source-checked AI changes, original tests and one practical thing to try. We skip a week when there is not enough verified material. Free. Unsubscribe anytime.
ModelsAgents & harnessesDeveloper infrastructureProductsFunding & company movesPricing watchUnder the radar