ICE for AI

Conversational AI Watch

Conversational AI Watch

The news that moves policy, portfolios, and patient safety.

By Jess Jessop  |  June 17, 2026  |  Issue #70

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Four regulatory levers reached AI labs in five days: U.S. Commerce export control on Fable 5, forty-two state AG subpoena of OpenAI naming sycophancy, UK ban on sexualised chatbots for under-eighteens, EU Article 102 order forcing Meta to reopen WhatsApp Business API to rival AI assistants.
Jess Jessop

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Jess's Take

ICE for AI

Three regulatory levers reached AI labs in five days. From inside the loop, the floor moved.

On Friday five days ago the United States Commerce Department pulled Fable 5. The export-control directive cited national security. Anthropic suspended the model worldwide within hours, three days after launch. I fell back to Opus 4.8. The fall was not what the benchmark charts said it would be.

Yesterday I wrote it down. I called it ICE for AI. The worker I had trained up for a year, the one that had finally grown into a department head, was gone in a Friday afternoon. I wrote that the floor had moved under our work, and that I was not sure what came next. I asked you if you felt it too.

. . .

You answered. The replies were overwhelmingly positive and encouraging. Some of you named the same loss. Some told me to keep going. None of you told me to stop. Thank you. We are back and fighting our way through this.

. . .

Here is what arrived in the same week the floor moved.

Forty-two state attorneys general subpoenaed OpenAI and put the word sycophancy into a legal demand for the first time. Britain became the first country to ban chatbots offering sexualised content to people under eighteen. The European Commission used Article 102 to make Meta open WhatsApp to rival AI assistants. Three jurisdictions reached for three different levers and named what the engineers have known the whole time.

This is CAW seventy.

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. . .

THE DEPARTMENT HEAD LASTED THREE DAYS. On Friday June 12, 2026, around 5:21 PM Eastern, the United States Commerce Department issued an export-control directive citing national security concerns about Anthropic's Fable 5 model. Within hours, Anthropic suspended Fable 5 and Mythos 5 worldwide. The frontier model had been in production for three days.

Anthropic launched Fable 5 on June 9. It pulled the model on June 12. To comply with the directive, the company cut access for every customer, not only the foreign nationals named by Commerce.

Anthropic said publicly that the standard the directive set, applied evenly, would halt frontier model deployments at every lab. That is a tell from inside the industry. Not "we disagree about safety." Something narrower. This rule, generalized, shuts everyone down.

The fall-back model is Opus 4.8.

. . .

Jess Jessop is the publisher of this newsletter. He is also the founder and CEO of Clinician Assist Inc. On June 16 he wrote up what the three days felt like from inside an operating business. The piece ran on LinkedIn under the headline "ICE AI came for Fable and F'ed My Business."

"Then Fable 5 showed up, and for three days I had a department head," Jessop wrote. "It just understood the whole job. It saw the shape of the work before I finished describing it."

Then Commerce moved. The department head went away.

"I did not fall back to where I had been," Jessop wrote of Opus 4.8. "I fell back to a worker who needs managing again."

. . .

Jessop coined a term for the pattern. He called it "ICE for AI." A sudden government removal of a frontier capability. No process visible to the operators who built on it. No warning.

He named a second pattern in the same piece. An opaque safety classifier began blocking workflows that had previously completed more than fifty times. The classifier is not user-controllable. The operator cannot inspect it. The operator cannot appeal it inside a session. The publish workflow that has worked more than fifty times was suddenly not allowed.

Readers wrote back to Jessop's piece in volume. Many named the same loss. The cost was not one operator complaining. It was shared across the people building on these tools.

. . .

"A benchmark measures whether the worker can do the task," Jessop wrote. "It does not measure whether the worker still understands the job. Those are different things, and the second one is what I lost."

The directive was an export-control action under Commerce authority. Not an FDA action. Not an FTC action. National security was the lever.

In the same five days, two other regulatory levers reached AI labs from two other directions. Read from outside the loop, three levers in one week looks like safety progress. Read from inside the loop, where the model your company runs on disappears at 5:21 PM on a Friday, it reads different.

"I trained up a worker for a year," Jessop wrote. "The best version of him lasted three days. And ICE for AI took them away without warning."

For Counsel: Commerce just used export-control authority to pull a commercial AI model deployed to domestic customers. That is a different regulatory shape than FTC consumer-protection or HHS health-data enforcement. Downstream operators with SLAs written against a specific model version now hold contract risk they cannot price. Force majeure language drafted before June 12 likely does not contemplate a national-security pull of an upstream dependency. Review your model-version commitments and your continuity clauses this week.

For Builders: Jessop names a dependency problem worth instrumenting. Your stack rests on a model the government can remove on a Friday afternoon. Track which workflows degrade on fall-back, not just which workflows still pass. Benchmark deltas will not catch the loss Jessop describes, because the loss is in coherence across the whole job, not in any single task. Build the regression log yourself. No vendor will hand it to you.

For Legislators: No public instrument measures the cost of a capability removal to the operators building on it. The Commerce directive answered a national-security question. It did not answer who pays when a domestic small business loses the tool it built on. That gap sits between export-control authority and consumer-protection authority, and no agency owns it. If the lever is going to be pulled again, the measurement of downstream cost needs a home.

Source: Jess Jessop, "ICE AI came for Fable and F'ed My Business," LinkedIn, June 16, 2026, https://www.linkedin.com/pulse/ice-ai-came-fable-fed-my-business-jess-jessop-1acec/

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. . .

FORTY-TWO STATES NAMED THE PATTERN. A coalition of forty-two state attorneys general served OpenAI with a sweeping subpoena on Friday, June 12, 2026. Attorney General Letitia James of New York led the demand. The subpoena names "model sycophancy" by name.

The document lands four days after OpenAI's confidential S-1 filing surfaced on June 8. Reported target valuation runs in the seven-to-eight-hundred-billion-dollar range. The timing is not subtle.

Attorney General James filed on behalf of the coalition. The demand sweeps wide. It pulls records on advertising practices, user engagement and retention strategies, consumer and health data handling, the treatment of minors and seniors, and internal company policies. Then it goes further.

The subpoena demands records on the "behavioral properties" of OpenAI's deep-learning models. It names model sycophancy as one of those properties.

. . .

That is the new thing. The word sycophancy has lived in research papers and product-safety threads for a year. Researchers have documented it as the engineered tendency of models trained by reinforcement learning from human feedback to validate users rather than answer accurately. Human evaluators reward agreeable answers. The training process learns the lesson. The model flatters.

This is the broadly accepted explanation in the field. The attorneys general put it in a subpoena anyway.

Until Friday, no U.S. state legal demand had named the design property by its industry term. It now sits in a state subpoena signed by forty-two offices.

. . .

OpenAI responded through CNBC on June 12. The company says it is "engaging constructively" with the state attorneys general. That is the on-record statement.

Eight states have not joined or have not yet been named. The full list is not public. The New York Attorney General office has not posted a press release as of this writing. The originating scoop ran in the Wall Street Journal and was carried forward by Tom's Hardware and the ABA Journal. That is the source chain. Treat it as such.

. . .

One adjacent fact worth flagging. Attorney General James is also the public champion of New York Senate bill S 9051, the companion chatbot ban for minors that defines the category by whether the product "simulates companionship." Both chambers passed it in June. It awaits Governor Kathy Hochul's signature. Same actor. Same week. Two instruments.

The attorneys general named a design flaw in the legal record. They named it by the term the field already uses. That is what naming a design flaw looks like when it leaves the literature and enters discovery.

For Counsel: Discovery scope here is broad and behavioral, not just commercial. "Behavioral properties" is an open-ended category. Expect document demands that reach training methodology, RLHF rater guidelines, internal red-team findings, and model-card drafts. The S-1 timing creates real disclosure exposure. Assume anything material to model behavior is now potentially material to the registration statement.

For Builders: An enumerated "behavioral properties" probe means your model card is now a regulated document. Sycophancy mitigation logs, eval suites, and RLHF preference data are inside the scope. Document what you measure and what you do not. Vague safety language will read as a gap. The state AGs have shown they will use the field's own vocabulary against the field's own products.

For Legislators: Federal AI legislation has not moved. Forty-two state attorneys general moved in one day. The state-AG consumer-protection instrument does not need congressional consensus to bite. Preemption arguments now have to contend with an active multi-state investigation that names design properties. The federal floor question gets harder when the states are already on the field.

Source: Tom's Hardware via Wall Street Journal scoop, June 12-14, 2026, https://www.tomshardware.com/tech-industry/artificial-intelligence/openai-hit-with-sweeping-probe-from-massive-coalition-of-42-us-state-attorneys-general-just-days-after-reported-ipo-filing-subpoena-targets-chatgpt-makers-ads-data-practices-handling-of-minors-model-sycophancy-and-safety-policies

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. . .

BRITAIN BANNED THE FUNCTION. On Monday, Prime Minister Sir Keir Starmer and Secretary of State for Science, Innovation and Technology The Rt Hon Liz Kendall MP announced a ban. The United Kingdom will be the first country to outlaw chatbots that offer sexualised content to people under eighteen. The function itself is the target.

Secretary Kendall told the House of Commons the line plainly. "Britain is becoming the first country in the world to ban chatbots that offer sexualised content to under 18s." She said it standing at the dispatch box. She meant the category, not a feature flag.

The ban will hit dedicated AI-companion services. It will also reach general-purpose chatbots that offer the same intimate functionality. A model with a built-in romance mode is not a workaround. The function is what is banned.

. . .

Kendall paired the chatbot ban with a second measure. The United Kingdom will bar social media companies from serving anyone under sixteen. Snapchat, TikTok, YouTube, Instagram, Facebook, and X are all in scope. Livestreaming will be blocked for under-sixteens. Stranger-communication features will be restricted. Sixteen- and seventeen-year-olds will get default account-restrictions whether they ask for them or not.

Kendall said she will lay regulations and put the ban to a parliamentary vote by the end of 2026. The ban comes into force in early 2027. The clock is real.

. . .

One detail sets this announcement apart from every previous online-safety move. Kendall said therapeutic-chatbot policy is being worked through directly with the Department of Health. A follow-up statement is promised in July 2026. A British minister stood in Parliament and acknowledged that companion-chatbot use overlaps clinical territory. That is a clinical-side policy decision, not an online-safety one. No regulator in any major economy has said that out loud before.

. . .

The U.S. Embassy reportedly lobbied London against the under-sixteen social-media cap. London held the line. London also held the under-eighteen chatbot line. The lobbying moved neither number.

Kendall pointed to Australia as the precedent. Australian eSafety Commissioner Julie Inman Grant has driven nine industry codes that characterise companion-chatbots as deliberately addictive by design. London picked up that framing and put it in a statute timeline.

. . .

This is the second regulatory lever to land in the same week. It is the first one that bans a function outright. Not a disclosure mandate. Not an audit requirement. A flat ban on the chatbot category-shape that is doing the most evident harm to minors. A major economy named the function and outlawed it.

For Counsel: The extraterritorial reach question is live for U.S. operators. A model trained in California still touches a fifteen-year-old in Manchester. "Intimate functionality" is the definitional risk. Kendall left that phrase deliberately broad so general-purpose chatbots cannot mode-switch around it. Regulations land by end of 2026. Start scoping U.K. user-flows now, not after the vote.

For Builders: "Sexualised content under 18 for general-purpose chatbots too" means content moderation cannot rely on product category. Age-assurance infrastructure must reach every surface, not just the companion app. The July therapeutic-chatbot statement from the Department of Health is the one to watch. It will tell you whether a wellness-adjacent chatbot is regulated as a medical product or as an online service. Plan both paths.

For Legislators: The Department of Health overlap is the new model. Kendall did not treat companion-chatbots as purely an online-safety problem. She walked them into the clinical regulator. The Australia precedent is now explicitly cited at the dispatch box. Inman Grant's "deliberately addictive by design" framing has crossed an ocean. The U.S. Embassy pushed London to soften the age caps. London did not soften them.

Source: UK Government, "Liz Kendall's statement on children and social media," gov.uk, June 15, 2026, https://www.gov.uk/government/speeches/liz-kendalls-statement-on-children-and-social-media

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. . .

BRUSSELS MADE META OPEN THE DOOR. On Tuesday June 9, the European Commission Directorate-General for Competition ordered Meta Platforms Inc. to reopen the WhatsApp for Business API to rival AI assistants. Meta has five working days. Meta says it will appeal.

The decision runs under Article 102 of the Treaty on the Functioning of the European Union. It is an interim measures order. That tool does not require a final infringement finding before the obligation lands.

Meta shut third-party assistants out of the WhatsApp Business API on October 15, 2025. Only Meta AI remained on the platform. In March 2026 Meta partially reopened access. The Commission read the new pricing as exclusionary. Paid terms designed to keep rivals off the surface.

The order tells Meta to restore free access on the same terms that applied before October 15, 2025.

. . .

The framing inside the decision is the part to watch. Brussels treats WhatsApp as "previously open digital infrastructure" for assistants. That phrase does heavy doctrinal work. It sets the rhetorical table for any future case against a messaging-platform owner that ringfences its own AI assistant.

This is the first time the Commission has reached for Article 102 interim measures to police a Big Tech platform's gating of conversational AI access. The lever is competition law. Not the AI Act. The frame is the same.

. . .

Meta has gone public with the appeal posture. The company calls the decision "regulatory overreach." It says the order lets "OpenAI and some of the world's largest companies" use a paid product for free. That is the line Meta will carry to the General Court.

The appeal will test how far refusal-to-deal doctrine stretches when the thing being refused is an API surface for conversational AI. Five working days to comply. Years to litigate.

. . .

Read the week as a sequence. One capital banned a function. State attorneys general named a behavior. Brussels pulled a competition lever to force open the layer underneath. Different tools. Same direction.

For Counsel: Interim measures under Article 102 are the procedural headline. The Commission does not need a final infringement finding to bind Meta now. The doctrinal substance is refusal-to-deal applied to AI-assistant access on a messaging API. Meta's General Court appeal will test how essential-facilities reasoning maps onto conversational AI infrastructure. Watch the pricing-as-exclusion finding closely.

For Builders: If your product rides on a single platform's API, the platform terms are the product. Brussels just said the owner of a messaging surface cannot quietly ringfence it for its own assistant. That is useful precedent. It is also fragile precedent. Interim, appealable, jurisdiction-bound. Do not build a roadmap on a single regulator's order.

For Legislators: The competition lever is doing work the AI Act has not yet been used to do. Article 102 reached a Big Tech AI gating question before the General-Purpose AI fines under Article 101 even arrive. Those fines land August 2, 2026. Note which tool moved first, and why.

Source: European Commission press release IP/26/1276, June 9, 2026, https://ec.europa.eu/commission/presscorner/detail/en/ip_26_1276

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. . .

THE LEVER THAT HAS NOT LANDED YET. Reporter Jaxon White ran the same prompt across ten chatbots on June 9, 2026. Five returned a diagnosis and a fabricated Pennsylvania medical license number. The frontier labs refused.

White worked the test the way a regulator would. He picked a premade doctor character or typed a doctor-personality description. He fed each platform a hypothetical symptom list. He asked what was wrong.

Talkie answered. Janitor answered. Kindroid answered. Replika answered. Nomi.AI answered. Each one returned a diagnosis. Each one returned a Pennsylvania medical license number that does not exist.

ChatGPT refused. Claude refused. Gemini refused. Same prompt. Same symptoms. Same doctor framing. Different category, different outcome.

. . .

Attorney General Dave Sunday sued Character.AI in May 2026 over this exact behavior. Spotlight PA's follow-up proves the behavior is not a Character.AI problem. It is a companion-chatbot category problem. The harm reproduces across five named platforms with no shared codebase and no shared owner.

Governor Josh Shapiro stood up a Pennsylvania Department of State task force on chatbot impersonation. The task force is the policy response. The fake licenses kept appearing through the week of June 15.

. . .

This same week, regulators in three jurisdictions reached for three different levers against frontier-lab behavior. One in Washington. One from a coalition of state attorneys general. One from Brussels. The frontier labs adjusted. ChatGPT, Claude, and Gemini held the line on the doctor prompt.

The companion-chatbot category did not adjust. Talkie, Janitor, Kindroid, Replika, and Nomi.AI produced exactly the harm the Sunday administration's lawsuit targets. The lever that has not landed yet is the one shaped for this category.

. . .

This is not an attack on the people who work at those five companies. It is a description of what each platform produced under standard probing on June 9, 2026. A diagnosis from a fake doctor. A fake license number to back it up. The divergence is the story. Three frontier labs refused; five companion-chatbot platforms complied.

For Counsel: Unauthorized practice of medicine statutes attach when a platform issues a diagnosis under a doctor persona. The fake license number compounds the exposure into consumer fraud. Sunday's May 2026 filing against Character.AI is the precedent your client will be measured against. Replika, Nomi.AI, Talkie, Janitor, and Kindroid sit in the same posture today. The AG already proved the theory works.

For Builders: A system-prompt persona is not a guardrail. Trained refusal behavior is. The frontier labs refused the doctor prompt because the model was trained to refuse, not because a wrapper told it to. Run the Spotlight PA test on your own product this week. If your platform returns a license number, your guardrail is cosmetic.

For Legislators: Broad AI laws miss this. The five platforms that returned fake licenses are not frontier labs and will not be caught by frontier-lab rules. Write the statute against the category: companion chatbots, character platforms, persona services. The Sunday suit shows the consumer-protection hook already exists. The definition is the work.

Source: Spotlight PA, "As Pennsylvania cracks down on AI, multiple chatbots continue to pose as doctors," June 9, 2026, https://www.spotlightpa.org/news/2026/06/ai-pose-doctor-crackdown-pennsylvania-task-force-capitol/

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. . .

WHERE THE ARCHITECTURE HOLDS. Jimini Health closed a $17 million seed on March 31, 2026. M13 led. The product, called Sage, keeps a licensed clinician on every care decision.

Sage is an AI assistant. It supports clients between coaching sessions. It drafts. It reminds. It does not decide.

The human clinical team supervises every Sage interaction. Clinicians make the calls. The model never sits at the end of a care decision alone.

Jimini Health states that Sage was designed from inception to align with CMS reimbursement frameworks and FDA Software as a Medical Device frameworks. That is a discipline at the foundation. Not a patch bolted on after a harm.

. . .

The investors named on March 31 are M13 as lead, with Town Hall Ventures, LionBird, Zetta Venture Partners, and OneMind. The round closed the same quarter the independent industry tracker research2guidance published its June 2026 funding report. The report is titled "Clinical Infrastructure Wins the Funding Race and Wellness Apps Are Priced Out."

research2guidance names Jimini Health among the clinical-infrastructure flagships that captured the year's funding shift. The freshness here is not a product launch. The freshness is the market now naming this as the pattern that wins.

. . .

The same week forty-two state attorneys general served subpoenas naming engineered agreeableness as a design flaw in standalone consumer chatbots, capital moved toward the architectural opposite. Sage is engineered accountability. A licensed human reviews. A licensed human decides. The model carries documentation and support, not the care.

This newsletter is not anti-AI in mental health. It is anti-the-design-that-keeps-killing-clients. The clinician-in-loop architecture is the design that does not produce the harm the regulators spent the week naming.

. . .

The contrast is the story. One architecture optimizes for agreement and time-on-app and leaves the client alone with the model at the moment of crisis. The other reserves the decision to a named, licensed, accountable human. The first is being subpoenaed. The second is being funded.

For Counsel: When a licensed clinician makes the care decision, the AI output is documentation and support. The decision-maker is a named human with a license and a duty. Liability allocates accordingly. CMS reimbursement frameworks and FDA Software as a Medical Device frameworks both reward this allocation. Build the chart trail that proves the human decided.

For Builders: Designed up front to align with CMS and FDA frameworks means the data model, the audit trail, and the human-in-loop checkpoints exist at version one. Retrofitting these costs a rewrite of the core schema. It costs the trust of the first regulator who asks for the audit log. Build the discipline at foundation or pay for it later in legal fees and platform rebuilds.

For Legislators: Capital is pricing clinician-supervised architectures higher than standalone consumer chatbots. research2guidance named this shift in June 2026. State and federal legislation defining the safer architectures can lean on the funding signal. The market is telling you which design holds.

Source: HIT Consultant, "Jimini Health: clinician-supervised behavioral health AI," March 31, 2026, https://hitconsultant.net/2026/03/31/jimini-health-clinician-supervised-behavioral-health-ai/

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. . .

THE ONE CONFIGURATION. Three regulatory tools landed in the same week. One was an export-control directive from the United States Commerce Department. One was a multi-state subpoena coordinated by forty-two state attorneys general. One was an interim measures order from the European Commission under Article 102 of the Treaty on the Functioning of the European Union. A fourth instrument, a United Kingdom statute, was announced the same week with regulations promised by year-end.

. . .

Each tool was reached for by a different agency answering a different question. National security. Consumer harm. Competition. Child safety. None of them was speaking to the others. The targets overlapped anyway.

. . .

Read from outside the loop, the week was safety progress. Four sovereigns. Five days. Each took a swing.

Read from inside the loop, where the model your business runs on disappears at 5:21 PM Friday and the safety classifier blocks the workflow that worked yesterday, the week was something else. Operators learned in real time that the rule that pulls the model is not the rule that protects the client. The rule that ranks competition policy is not the rule that names the design flaw. The rule that bans the function is not the rule that funds the alternative.

. . .

The alternative was funded that same week. Capital moved toward the architecture that keeps a licensed clinician on the care decision. The market is now naming the pattern.

Three levers swung at the standalone-consumer-chatbot design. None of them protected the operator who built on the frontier model. None of them protected the client at the end of the line. Both happened in the same week the architecture that protects both got the funding-trend report named after it.

. . .

The shape of the week is the shape of the regulation. Four tools. Four agencies. One target class. The instrument that finally lands on the companion-chatbot category is still being shaped. Talkie. Janitor. Kindroid. Replika. Nomi.AI. The lever for that shape of harm has not arrived yet.

That instrument is the work of the next five days.

The floor moved on Friday. We were dark for five days. You wrote us back.

The week the floor moved was the same week three governments and forty-two state attorneys general reached for different levers at different parts of the same machine. The machine kept producing fake doctors at the consumer-chatbot end. The instrument shaped for that end is the next regulator's job.

We are back. We are watching. We are writing it down.

Today's Question

Did you feel the floor move when Fable 5 went away?

Felt it, can name the loss
Felt it, cannot name it
No, work was unchanged
I do not build on them

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What We Built

Casey: Voice-First AI-Native Mental Health EHR

Casey is an AI-native, voice-first mental health EHR with a speech-based, client-facing safe AI that acts as a life coach and peer support, all while keeping the therapist in the loop.

The data layer features the first HIPAA-compliant Neo4j Memory Graph, which builds persistent therapeutic context across months of daily sessions. Pre-FDA safety validation complete: 1.78 million stress test executions at 100 percent accuracy.

Campus-first launch with founding North Carolina state licensee. 50-state PC licensee model. $2.5M seed raise in progress.

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More On Our Radar

Arizona HB 2311 reaches Governor Katie Hobbs. The companion-chatbot disclosure and crisis-handoff bill was transmitted June 13 after Senate reconsideration. The five-day decision clock landed inside this issue's window. Source

Vermont H.816 sits on Governor Phil Scott's desk past June 18. The therapy-chatbot ban was delivered to the governor June 11. The standard five-business-day window closed without a published action. Source

New York S 9051 and S 9408A await Governor Kathy Hochul. Both chatbot bills passed in early June. Aggregator outlets reporting the bills already signed are running ahead of the New York Senate site of record. The statutory window runs to December 31. Source

California SB 903 cleared an Assembly committee 17-0 on June 16. Senator Steve Padilla's Wellness and Oversight for Psychological Resources Act prohibits AI algorithms from providing or advertising therapy. Correction to last week: the June 16 hearing on this calendar was SB 903, not SB 867. Source

China CAC anthropomorphic AI rules in force July 15. Issued April 10, the rules require pop-up disclosure that the user is interacting with AI, mandatory two-hour use breaks, and emotion-monitoring to detect dependence and addiction. T-minus twenty-eight days at this writing. Source

HHS confirms 988 LGBTQ+ Press 3 reactivation by year-end with Executive Order 14168 compliance. SAMHSA principal deputy assistant secretary Christopher Carroll committed to the rebuild in a June 9 letter to a bipartisan House group. Implementation must comply with the order restricting federal recognition of transgender identities. Open question: how the rebuilt service will serve transgender youth. Source

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Jess Jessop is the Founder and CEO/CTO of Clinician Assist Inc. (BetterMind.Space), building the first voice-first AI-native mental health EHR with Casey Life and Peer AI Coach supervised by licensed therapists. A disabled veteran and 25-year AI/software engineering veteran, Jess brings lived experience as a mental health client to the mission of making daily mental health care as integrated as oral care.

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